Did you enjoy this video? Try my premium courses! 😃🙌😊 ● Hands-On Computer Vision in the Cloud: Building an AWS-based Real Time Number Plate Recognition System bit.ly/3RXrE1Y ● End-To-End Computer Vision: Build and Deploy a Video Summarization API bit.ly/3tyQX0M ● Computer Vision on Edge: Real Time Number Plate Recognition on an Edge Device bit.ly/4dYodA7 ● Machine Learning Entrepreneur: How to start your entrepreneurial journey as a freelancer and content creator bit.ly/4bFLeaC Learn to create AI-based prototypes in the Computer Vision School! www.computervision.school 😃🚀🎓
@@ComputerVisionEngineer hi Felipe, will this wonderful tutorial work with the current YOLOv8 version and its dependencies? or we need the exact versions you used in this video? will there be errors? compatibility issues?
the fact that you have shown how to do it in both colab and locally is just amazing. you are sooo underrated. please don't stop making content. your content is sooo awesome
Been working something similar for a hackathon in my freshman year, first thought was to build a CNN from scratch (with no prior knowledge in computer vision) , then came across this video, you are a lifesaver man.
I am an aspiring AI engineer that is currently taking Electrical engineering in college. I am thankful to have found your channel today. I can now binge watch quality computer vision tutorials. 🎉🎉🎉
Dude you are great ! At the begining i was struggling with your accent but it ended up well. I learned new things from you, such as data annotation, implementing YOLOv8. I am grateful to you.
thank you my man you wouldnt believe how much gratitude i have for this video and the fact you even showed how to run it locally as well. thanks man i reallly mean it.
The video is of high quality, simple and practical, and avoids a lot of boring and difficult computer knowledge. As a beginner, I feel that I have received new knowledge, thank you.
I rarely comment on any videos, but yours was really one of a kind, love your way of explanation and teaching, wishing you well and truly thank you for your efforts!
Thanks a lot for this tutorial! I have spent hours in other tutorials that ended up being a copy paste of steps in Jupiter, but you went the extra mile to show and help us understand the whole process in our own computers. This is really good work and is helping us learn a lot. Thanks heaps!
Hey I am working on the same project and I have some problem while training the model. So can you help me out. Can you please send me your number so that I can ask my doubt as I have my hackathon tomorrow and its really urgent
Hi! This was a great intro and really good explanation and it helped me get going with my 'recognize bees' project 🐝 Thanks for sharing your knowledge and you now got a new subscriber ;-)
I really love this channel he explains everything that you needed to know, 1 hour long video is not boring for a good teacher but 15 min. long video is too boring if the teacher is not good. keep on posting I am learning a lot from this channel
Hello and many thanks for this great tutorial , i have one question maybe not covered...when you annotate your pictures you don't tell about picture size harmonisation. Is it compulsory for better results ?
Thank you for the great video! Would love for you to dive into the fine-tuning and optimisation for this model. Do you have anything like that? For example, improving results using statistics of the ground truth images, hyper parameter tuning, etc...
Amazing Tutorial, After days of trying to figure vision models out with AI help and videos, your video was the only thing that managed to put me on the right track, I only ran into one issue but managed to figure it out pretty easily, Now I have this thing producing semi supervised datasets for further training, I Subscribed You Definitely deserve more attention. I didn't have to re watch the video, overly pause it to understand what is going on, Super easy to follow along, Overall one of - if not the best guide/tutorial videos out there! Thanks For the knowledge my guy, God bless!
Hey, I am facing an issue where evrything's running fine, even my results are also getting saved but still there is ( no detection ) written.! How to resolve this I have tried 2/3 times
Have issue where when scanning the images its "2 images, 0 background, 100% corrupt" The code runs but the result is no detection.the curves were flat especialy in prediction and recall. Any help?
Thank you so much for your help in this video. The way you broke down each step of the process helped way beyond everything else I have found. Too many demonstration videos assume too much. You didn't. Thanks, again.
Loved the way you explained it. You are just like a COOL PROFESSOR👨🏫. Yes, this worked well for me😇. Fan, the way you are saying " many ,many, many , many., many.......🤩🤩😍😅😂🤣😆"
Thank you so much for covering different ways to do the job!!!! I've been struggling over the past 2 weeks bcuz every tutorial showed a single method and I kept running into some kind of error each time and had to redo the whole process so many times and downloaded a bunch of useless stuff >.
I used another random dataset with 1000 images in train and 100 images in validation, and I tried to keep val and train datasets different in the config.yaml. The results generated on every graph in (results.png) consist of a single dot. Should I choose the train dataset and validation dataset for correct results? Can you please help me? Regards🌼🌻🌼 *Edit: I got my issue resolved; I just used 20 epochs instead of one Thanks for such a great and only video on yolov8 that is crystal clear about every point.
I really appreciate you sharing such a tutorial. I ran both Yolov5 and Yolov8 on my custom dataset, but the result of Yolov5 is more satisfying. Can it happen, or did I make some mistakes during my training process?
best tutorial i found about training with volov8. congrats. On the final stage, you do some prediction tests with videos. Could you guide usto do that test but with images uploaded by the user? Example: user upload an image (photo), and after its uploaded the system detects objects on it. Thanks in advance! you have my suscription and thumbs up allways!
Thank you for your support! Inference is covered in other videos, for example this one is about object detection on frames of a video czcams.com/video/jIRRuGN0j5E/video.html 🙌
Buenas tardes, El video está muy bien explicado!!! ,sólo algunas dudas de la configuración de las carpetas y cuál es la mínima cantidad de fotos para tener un buen rendimiento.
Sos un genio hermano, ya sabia que si no eras Argentino eras Uruguayo jajajajajaja. Has pensado en subir los videos en español también? Sé que somos pocos loquitos en el tema, pero preguntaba por comodidad nomás. Un saludo!!!!
Great Video for beginners ♥ A video about training an actual useful dataset like escooters and escooters + driver would be cool. If not possible with training, do it with code, like checking if a person and escooter box intersect, etc. And detecting multiple people standing on one scooter and stuff like that. I mean i love alpacas, but i cannot think about a usecase for that or some video to build on top of the previous ones. Just a suggestion to make it more interesting as real projects could be a great YT series :) Greetings from Vienna
@@ComputerVisionEngineer thanks for your answer, i hope you did not misunderstood it, you have great in-depth videos of course and i love them. I just meant to give beginners a more guided journey in form of a series with more practical use case/s. It might still sounds weird and like critique, but it's really just an idea with my chaotic english skills :D Greetings
Really helpful Video for understanding the procedure and I admire the simplicity! Can you please explain how to test with an image and display the output with the bounding boxes and class label?
I did everything like on video but with different images and path. Checked everything multiple times but when i run my main python file nothing happends😢
Yolov10 isn’t from the ultralytics team it’s from a team of researchers from Tsinghua University. And it is based on an ultralytics fork. I got to try it, but was a little disappointed the torch version (on an M1 Pro and an nvidia 1080) was only a bit faster than existing yolov8 not as advertised TRT export failed for some reason
Hello, i followed the exact same steps but i keep getting this problem : "WARNING ⚠ No labels found in /content/gdrive/MyDrive/data1/images1/val1.cache, training may not work correctly." is there a problem with my data ?
your video looks good, I will try it for traffic light detection in complex bg on own custom dataset. if possible, please provide a guide line. you can also make a tutorial , which will be cover lot of topics
Hey Mohammad, well you could use this video as guideline, once you have collected and annotated the data the process is as described in the video. Sounds like a cool project by the way! 😃💪
Hello, sorry if this is a weird question but when i execute downloader.py it comes up with an error saying image list argument is required. Have i missed a step, was i supposed to download images manually?
hello, when i run 'create_dataset_yolo_format.py' I get an error saying "The system cannot find the path specified: '.\\data\\train'". Could u pls help me with this? Thanks
thank you very much for your efforts and how to clear the stored data after a period of time so as not to fill the storage memory. and how can we add other classes?
How to test it with images and also how to test this with live video feed ? im doing this as my college project and im working on campus monitoring system.
Can you make a video describing what the graphs in the results mean? What are some suggestions on what to do with my data that could lead my model to have better predictions? Can the graphs guide me there?
I am preparing a course on advanced model evaluation where I am going to explain a super detailed approach on how to evaluate a computer vision model. 🙌
Thank you very much for the video. After following these videos, I can successfully run this command, but I have an extra few images that I want to detect. How can i use this model to detect?
Thank you for your video. It is absolutely amazing that we can have such a great tutorial. Would you please make a detailed tutorial on how to use the model to test real data of video.
@@ComputerVisionEngineer May I ask how many times you train and the epochs for training to get the model detecting object, I tried to implement the model but it fails to detect. The confusion matrix shows the prediction always wrong😂
Thanks for this comprehensive tutorial. What if the goal is to add an additional class to the available classes in YOLOV8. Particularly, annotation tool starts annotating from label number 0. However, class 0 is available in corresponding classes in YOLOV8. does CVAT allow to label from the last index of COCO dataset to add a new class to the available ones in YOLOV8?
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● Computer Vision on Edge: Real Time Number Plate Recognition on an Edge Device bit.ly/4dYodA7
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Learn to create AI-based prototypes in the Computer Vision School! www.computervision.school 😃🚀🎓
did u aimbot the alpaca ?
@@johnmcook1 😂 I did not
@@ComputerVisionEngineer hi Felipe, will this wonderful tutorial work with the current YOLOv8 version and its dependencies? or we need the exact versions you used in this video? will there be errors? compatibility issues?
,
Hi...can you please show details how to download and create dataset from openimagedatasetV7
the fact that you have shown how to do it in both colab and locally is just amazing. you are sooo underrated. please don't stop making content. your content is sooo awesome
Been working something similar for a hackathon in my freshman year, first thought was to build a CNN from scratch (with no prior knowledge in computer vision) , then came across this video, you are a lifesaver man.
I’m in the exact same situation, I was making from scratch with tensor flow and keras lol
@@hort-dog I was in the exact same situation. I was going to build using pytorch.
youre so fluid coherent and elaborate 1 hour felt like 1 minute
😊 Thank you so much for your kind words! Glad you enjoyed the video! 🙌
I am an aspiring AI engineer that is currently taking Electrical engineering in college. I am thankful to have found your channel today. I can now binge watch quality computer vision tutorials. 🎉🎉🎉
Hey, that is so cool, my background is on electrical engineering too! ⚡I am glad you find my content useful. Happy binge watching! 😃🙌
@@ComputerVisionEngineer me too, i have question how can i use yolov8 in linux terminal
Hey, I explain how to train a model using yolov8 from the terminal in this video, go to minute 41:38! 🙌
@@ComputerVisionEngineer it gives me so many errors while using in ubuntu terminal how can prepare from dataset in ubuntu
have you installed the package in a local environment? what Python version are you using? what errors do you get?
Dude you are great ! At the begining i was struggling with your accent but it ended up well.
I learned new things from you, such as data annotation, implementing YOLOv8.
I am grateful to you.
😃 Hey, thank you! Glad the videos are useful! I am now uploading subtitles in all my recent videos, to help people understand my accent. 😅💪
thank you my man you wouldnt believe how much gratitude i have for this video and the fact you even showed how to run it locally as well. thanks man i reallly mean it.
The video is of high quality, simple and practical, and avoids a lot of boring and difficult computer knowledge. As a beginner, I feel that I have received new knowledge, thank you.
Thank you!! So glad you enjoyed it and that you found the content helpful! 😃🙌
I rarely comment on any videos, but yours was really one of a kind, love your way of explanation and teaching, wishing you well and truly thank you for your efforts!
Thank you for your support! 😃🙌
this is the most easy to follow tutorial on customized objects and I could train it myself for traffic lights. Thank you so much..bless you!
Thank you! Glad it was helpful! 😃🙌
How did you download PyCharm??@@ComputerVisionEngineer
Hallo saya dari Indonesia dan sangat berterima kasih kepada kalian para konten kreator yang mengajarkan AI ini❤
Thanks a lot for this tutorial!
I have spent hours in other tutorials that ended up being a copy paste of steps in Jupiter, but you went the extra mile to show and help us understand the whole process in our own computers.
This is really good work and is helping us learn a lot. Thanks heaps!
Hey I am working on the same project and I have some problem while training the model. So can you help me out. Can you please send me your number so that I can ask my doubt as I have my hackathon tomorrow and its really urgent
You just gave me a comprehensive insight about annotation of image. Thanks
You are welcome! 😃💪
Thank you very much for the amazing tutorial please keep making these videos no such material is on CZcams very very helpful for each aspiring student
😃 Thank you! I am glad you find it useful. I will continue posting similar videos! 😄🙌
Please make custom dataset video object detection yolov8 code complete explanation - ( the last code in this clip)
Do you mean the inference? Sure, I can do that. 🙌
@@ComputerVisionEngineer yes please thank you sir
the best explanation about how to apply Yolo V8. thank you! Your video helps me a lot
Thank you! Glad the videos are useful! 😃🙌
great work and thanks for the tutorial , you're the first youtuber I have seen answering everyone's comments . Continue the great work !
Thank you! 😊🙌
thanks, i've graduated thanks to you :D
I really like watching your tutorials, you have great energy 🥳 and a good way of teaching the concepts 🤓
😃💪💪💪
Your videos are really simple and shares good amount of knowledge, as a beginner your videos always helped me a lot
Hi!
This was a great intro and really good explanation and it helped me get going with my 'recognize bees' project 🐝
Thanks for sharing your knowledge and you now got a new subscriber ;-)
😃 Awesome! Glad the video was helpful. Best of luck in your bees project! 🐝🙌
I really love this channel he explains everything that you needed to know, 1 hour long video is not boring for a good teacher but 15 min. long video is too boring if the teacher is not good.
keep on posting I am learning a lot from this channel
Thank you for your support! 😃🙌 I will keep on posting! 💪
Hello and many thanks for this great tutorial , i have one question maybe not covered...when you annotate your pictures you don't tell about picture size harmonisation. Is it compulsory for better results ?
Thank you for the great video! Would love for you to dive into the fine-tuning and optimisation for this model. Do you have anything like that? For example, improving results using statistics of the ground truth images, hyper parameter tuning, etc...
Fine tunning and optimization would be a very good topic for a future video. 🙌
@@ComputerVisionEngineer did you make one
As a cv grad student，i wanna say thanks for your tutorial！！！helping me a lot
😃 You are welcome! I am glad it is helping you, Thomas! 🙌
@@ComputerVisionEngineerI appreciate it! Having a nice day ! My bro!
Great video, very detailed. Really stands out from a lot of very confusing and crappy tutorials. Also your accent is so interesting.
If somebody is having problem with their config.yaml file, try naming the classes like this:
names:
- alpacas
- lamas
- whatever class you have
Amazing Tutorial, After days of trying to figure vision models out with AI help and videos, your video was the only thing that managed to put me on the right track, I only ran into one issue but managed to figure it out pretty easily, Now I have this thing producing semi supervised datasets for further training, I Subscribed You Definitely deserve more attention. I didn't have to re watch the video, overly pause it to understand what is going on, Super easy to follow along, Overall one of - if not the best guide/tutorial videos out there! Thanks For the knowledge my guy, God bless!
Thank you for your support! Glad the content is helpful! 😃🙌
Hi, nice tutorial. I really enjoyed it. Is it possible for you to make a multi-label classification tutorial using DL algorithms?
Hey, thank you, I am happy you enjoyed it! 😊 Sure, that is a great suggestion, I will try to do a video about that soon! 😃💪
Thx for the video , I trained my first model you re such a nice youtuber
Hey, I am facing an issue where evrything's running fine, even my results are also getting saved but still there is ( no detection ) written.! How to resolve this I have tried 2/3 times
Hey, not sure if I understand, what do you mean there is no detection?
i also am getting this
Have issue where when scanning the images its
"2 images, 0 background, 100% corrupt"
The code runs but the result is no detection.the curves were flat especialy in prediction and recall. Any help?
I am also having same issue! Can anyone help?
Me to I have 200 images with bounding boxes 22 inside background and it doesnt matter if Its 10 100 or 300 epochs No matrix and flat curves
this is the video I'm looking for. Thank you. Your accent make English clearer for me, so the lesson is very clear.
Cool! Glad to hear you find the video useful! 😃🙌
This is so underrated!
Great video
Thank you so much for your help in this video. The way you broke down each step of the process helped way beyond everything else I have found. Too many demonstration videos assume too much. You didn't. Thanks, again.
You are welcome! Glad you find it helpful! 😃🙌
Thank you for this channel, your content is very educational and moreover you seem to be a nice person!
😃 You are welcome! It is such a pleasure for me, I have so much fun working on this channel! Thank you for your kind words! 😊🙌
Loved the way you explained it. You are just like a COOL PROFESSOR👨🏫. Yes, this worked well for me😇. Fan, the way you are saying " many ,many, many , many., many.......🤩🤩😍😅😂🤣😆"
Glad you enjoyed it! 😄🙌
Thanks! This is by far the best guide I've found for this process
Thank you! Glad you find it useful! 😃🙌
Thank you very much for your efforts and how to clear stored data after a period of time so as not to fill up the storage memory.
I sincerely appreciate your indepth turial. It kicked started my journery in Computer Vision.
Thank you so much for covering different ways to do the job!!!! I've been struggling over the past 2 weeks bcuz every tutorial showed a single method and I kept running into some kind of error each time and had to redo the whole process so many times and downloaded a bunch of useless stuff >.
Yeah I hear you, I've been there! I am happy you found the video helpful! 🤠🙌
the best video i have found on how to train yolo v8 thanks a lot
You have the magic stick, really god teaching
😄 Thank you! Glad you enjoyed it! 🙌
Spectacular tutorial, sir. Thank you.
I need a thing to do and for that I need to learn ML, and you have so many interesting videos! They all are so tempting! 👍
I'm so hyped!
i dont comment much but this was very good
very good tutorial! Loved it
TYSMMM this absolutely helped me create my first object detection model TYSMMMMMMM
You are welcome! 😃 Glad you find it useful! 🙌
@@ComputerVisionEngineer yep defiantly the best course abt the topic on youtube
@@ComputerVisionEngineer are you considering doing a yolo nas course??
Thanks a lot!! big thanks for teaching how to do it on a local ide
Thank you for taking the time to make this video.
Superb tutorial! The best I've seen yet.
This is fantastic! Excited to give this a shot-appreciate it, mate!
😃 You are welcome!
@@ComputerVisionEngineer do you have any good resources or suggestions for taking this trained model and then doing object counting in an ROI?
I used another random dataset with 1000 images in train and 100 images in validation, and I tried to keep val and train datasets different in the config.yaml. The results generated on every graph in (results.png) consist of a single dot. Should I choose the train dataset and validation dataset for correct results? Can you please help me?
Regards🌼🌻🌼
*Edit: I got my issue resolved; I just used 20 epochs instead of one
Thanks for such a great and only video on yolov8 that is crystal clear about every point.
I really appreciate you sharing such a tutorial. I ran both Yolov5 and Yolov8 on my custom dataset, but the result of Yolov5 is more satisfying. Can it happen, or did I make some mistakes during my training process?
This is THE HOLY GUIDE. Thanks!
Glad you enjoyed it! 😄🙌
Thank you so much to bring the latest technology
best tutorial i found about training with volov8. congrats.
On the final stage, you do some prediction tests with videos. Could you guide usto do that test but with images uploaded by the user? Example: user upload an image (photo), and after its uploaded the system detects objects on it.
Thanks in advance! you have my suscription and thumbs up allways!
never mind. found tutorial on oficial ultralitycs docs
Thank you for your support! Inference is covered in other videos, for example this one is about object detection on frames of a video czcams.com/video/jIRRuGN0j5E/video.html 🙌
Thanks for the video! Keep at it brother!
😄🙌
Buenas tardes,
El video está muy bien explicado!!! ,sólo algunas dudas de la configuración de las carpetas y cuál es la mínima cantidad de fotos para tener un buen rendimiento.
La cantidad minima de fotos depende, pero en general con algunas miles es suficiente. 🙌
Thank you sir, you are the best ...Keep up the good work love from india
Thank you so much for your support! 🥰🙌
Abosolutely helpful! So understandable and thank you so much!!!
You are welcome! Glad it is useful! 😃🙌
THANK YOU FOR THIS EXCELLENT TUTORIAL
😃🙌
Sos un genio hermano, ya sabia que si no eras Argentino eras Uruguayo jajajajajaja. Has pensado en subir los videos en español también? Sé que somos pocos loquitos en el tema, pero preguntaba por comodidad nomás. Un saludo!!!!
Hola! He pensado hacer un canal en español, tal vez lo haga más adelante. Gracias por tu apoyo! 🙌
Great indepth explanation of the entire process. 👍👍
Glad it was helpful!! 😃💪
Great 🩵🙌🏻
Great Video for beginners ♥ A video about training an actual useful dataset like escooters and escooters + driver would be cool. If not possible with training, do it with code, like checking if a person and escooter box intersect, etc. And detecting multiple people standing on one scooter and stuff like that. I mean i love alpacas, but i cannot think about a usecase for that or some video to build on top of the previous ones. Just a suggestion to make it more interesting as real projects could be a great YT series :) Greetings from Vienna
Thank you for your recommendations! I will try to make a more practical use case of object detection. Cheers! 😃🙌
@@ComputerVisionEngineer thanks for your answer, i hope you did not misunderstood it, you have great in-depth videos of course and i love them. I just meant to give beginners a more guided journey in form of a series with more practical use case/s. It might still sounds weird and like critique, but it's really just an idea with my chaotic english skills :D Greetings
Perfect explanation, Thank you!
Thank you! Glad you enjoyed it! 😃🙌
Hi Felipe, Ultralytics using any standardscale for detecting object.
Original images to standard format
Awesome video!!
You are many many many (cit.) the best! 😂😂! Thank you!
😂 Thank you for your support! 😃🙌
Really helpful Video for understanding the procedure and I admire the simplicity!
Can you please explain how to test with an image and display the output with the bounding boxes and class label?
Thank you! Take a look at the script predict_video.py, I draw the bounding box and the text on top for all frames of the video. 🙌
Oh man you nailed the tutorial 💯
😎💪 Glad you enjoyed it! 🙌
I did everything like on video but with different images and path. Checked everything multiple times but when i run my main python file nothing happends😢
Best video I have seen! Keep it up!
Thank you!
bagian detecting video masih belum lengkap 😄, ditunggu kelanjutannya pak 😁🙏
Thank you, you explained so well and detailed.
You are welcome! Glad you enjoyed it! 😃💪
What if we have more than 1 class? Im trying this for various traffic signs. It only detects stop sign.
u saved my project n my life🤓 theenks
You are welcome! Glad the video was useful! 😃🙌
how show results using webcam ?
I get error with :
while True:
ret, frame = cap.read()
result = model(frame)
cv2.imshow("yolov8", frame)
i loved ur accent
This is a great tutorial!!! the problem is that I don't see exactly how do you test it with the videos. I can't follow that part of the tutorial
Yolov10 isn’t from the ultralytics team it’s from a team of researchers from Tsinghua University. And it is based on an ultralytics fork. I got to try it, but was a little disappointed the torch version (on an M1 Pro and an nvidia 1080) was only a bit faster than existing yolov8 not as advertised TRT export failed for some reason
Hello, i followed the exact same steps but i keep getting this problem : "WARNING ⚠ No labels found in /content/gdrive/MyDrive/data1/images1/val1.cache, training may not work correctly." is there a problem with my data ?
your video looks good, I will try it for traffic light detection in complex bg on own custom dataset. if possible, please provide a guide line.
you can also make a tutorial , which will be cover lot of topics
Hey Mohammad, well you could use this video as guideline, once you have collected and annotated the data the process is as described in the video. Sounds like a cool project by the way! 😃💪
Hello, sorry if this is a weird question but when i execute downloader.py it comes up with an error saying image list argument is required. Have i missed a step, was i supposed to download images manually?
same issue here
hello, when i run 'create_dataset_yolo_format.py' I get an error saying "The system cannot find the path specified: '.\\data\\train'". Could u pls help me with this? Thanks
Thank you! for the detailed video.
You are welcome! 😃🙌
nice mastery of the english language
Great, Thanks :) 👍
thank you very much for your efforts and how to clear the stored data after a period of time so as not to fill the storage memory. and how can we add other classes?
How to test it with images and also how to test this with live video feed ? im doing this as my college project and im working on campus monitoring system.
Thank you for all your efforts, i wanna ask you can you give us a roadmap to learn machine learning ?
Thank you another time
Hey, sure, I will be happy to make a machine learning roadmap! 😃💪
Great Job... Keep Posting...
Great work!
Thank you very much for sharing and explanation, Sir.
You are welcome! 😊🙌
Can you make a video describing what the graphs in the results mean? What are some suggestions on what to do with my data that could lead my model to have better predictions? Can the graphs guide me there?
I am preparing a course on advanced model evaluation where I am going to explain a super detailed approach on how to evaluate a computer vision model. 🙌
Thank you very much for the video. After following these videos, I can successfully run this command, but I have an extra few images that I want to detect. How can i use this model to detect?
Thank you for your video. It is absolutely amazing that we can have such a great tutorial. Would you please make a detailed tutorial on how to use the model to test real data of video.
Thank you! If you want to inference frames from a video please take a look at the script predict_video.py, it is in the project's github repository. 🙌
@@ComputerVisionEngineer May I ask how many times you train and the epochs for training to get the model detecting object, I tried to implement the model but it fails to detect. The confusion matrix shows the prediction always wrong😂
Thanks for this comprehensive tutorial. What if the goal is to add an additional class to the available classes in YOLOV8. Particularly, annotation tool starts annotating from label number 0. However, class 0 is available in corresponding classes in YOLOV8. does CVAT allow to label from the last index of COCO dataset to add a new class to the available ones in YOLOV8?
Many Mant Thanks for the video man
nice man, i found a incredible content thank u so much!!
You are welcome! Thank you for your support! 😃🙌
can i make understand the basic need and make a model just by watching this single video ? or do I have to watch the whole playlist ?