Florence-2 : Advancing a Unified Representation for a Variety of Vision Tasks | Paper Explained

Florence-2, a novel vision foundation model with a unified, prompt-based representation for a variety of computer vision and vision-language tasks.
GitHub: github.com/AarohiSingla/Flore...
Try out the Florence-2 model here: huggingface.co/spaces/gokaygo...
Paper: arxiv.org/pdf/2311.06242
Florence-2 is pre-trained on our FLD-5B dataset encompassing a total of 5.4B comprehensive annotations across 126M images.
#computervision #largelanguagemodels #languagemodels #microsoft #ai #artificialintelligence

[@billzoaiken]

Very excited to play with this architecture. There are already a few tutorials out there showing how to fine-tune on custom data, too. Thanks for the overview!

[@CodeWithAarohi]

Glad to help!

[@arnavthakur5409]

Simply awesome. Very informative video

[@CodeWithAarohi]

Glad you liked it!

[@ajkdrag]

Need more such videos on paper-explanations. These are good!

[@CodeWithAarohi]

More to come!

[@user-mc7tg4pf3i]

Hell Thanks for your all videos and efforts. I am following your channel, but I request you please upload one detail video on how to finetune Yolov5 model for custome images classification.

[@emirhanbilgic2475]

I was waiting for this video! Thank you!

[@CodeWithAarohi]

Hope you enjoyed it!

[@pifordtechnologiespvtltd5698]

Hats off to your commendable efforts

[@CodeWithAarohi]

Thanks a lot

[@soravsingla8782]

Nicely explained video

[@CodeWithAarohi]

Thanks a lot

[@mohammadyahya78]

amazing explanation as usual

[@CodeWithAarohi]

Thank you!

[@sahil5124]

great explanation!

[@CodeWithAarohi]

Thanks!

[@karthickkuduva9819]

Mam where can i see cv related research paper. Im currently final year student looking for cv project. Can you share any link. Which will be so helpful for me and my batch mates

[@CodeWithAarohi]

ArXiv.org , CVPR, IEEE Xplore

[@Disodimz]

Whis is netter Yolov-9 or Florence-2

[@CodeWithAarohi]

Yolov9 is an object detection and segmentation model whereas Florence 2 is a vision language model. It can handle various tasks which yolov9 can't perform like Image captioning, text extracting etc.

[@user-maomao-tsai]

AI renewed so soon!

[@CodeWithAarohi]

Absolutely! Technology moves fast these days.

[@hxxzxtf]

🎯 Key points for quick navigation:
00:05 *📚 Florence-2 is a lightweight vision language model that can handle various tasks based on simple instructions.*
00:26 *💡 The key innovation of Florence-2 is its ability to handle tasks like object detection, captioning, and detailed image analysis using a unified approach.*
04:13 *🔍 In computer vision, models need to understand both global concepts and finer details to be effective across different tasks.*
04:54 *📍 Spatial hierarchy refers to the understanding of visual information at different scales or levels of detail within an image.*
06:03 *🔎 Semantic granularity refers to how much detail we can understand from visual information, ranging from general ideas to specific details.*
09:11 *🤝 Multitask learning involves teaching a model to do multiple related tasks at the same time to improve its overall understanding and performance.*
10:08 *💪 Universal representation learning means training a single model that can understand different types of information without processing has several phases for ensuring correct and complete annotations.*
20:39 *👀 The detailed annotation process ensures that the FLD 5B data set is properly labeled across different levels of granularity, enhancing its utility for advanced AI applications.*
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