Hello, Firstly thanks for the excellent video.. I have a doubt ..hope you can get some time to reply... at time stamp 10:23, the table you mentioned with class as negative and non negative. We checked against the IOU value and if it was less than 0.3 we gave class as negative and greater than 0.3 as positive. But then for red box why the class is negative? since its IOU is 0.8?
the best video and explanation
Thanks for explanation. The only video I've seen lately, that covers r-cnn on a such deep level.
Excellent Explanation. I hope seeing more Videos in image processing. Keep going 👍
Best explanation ive seen so far
Excellent explanation
I did not understand how you generate SVM dataset. Could you please elaborate on it?
NICE video
I have another question. Why do not we use the original classffier instead of SVM? What the point in using SVM?
Hello, Firstly thanks for the excellent video.. I have a doubt ..hope you can get some time to reply... at time stamp 10:23, the table you mentioned with class as negative and non negative. We checked against the IOU value and if it was less than 0.3 we gave class as negative and greater than 0.3 as positive. But then for red box why the class is negative? since its IOU is 0.8?
in the Red box, their is a dog not cat we are detecting for cat hence it showing negative