R-CNN, Fast R-CNN and Faster R-CNN explained

Explained in a simplified way how R-CNN, Fast R-CNN and Faster R-CNN works. These are object detection algorithm to detect object from the given Image.

[@देवेशशांडिल्य]

Thanks for such simplified explanation

[@leeyt2009]

Thanks! It's a great video that clearly explains the R-CNN family. I just have one question: for the comparison table (shown from 9:20), have you measured the time of the two stages (region proposal and classification) separately for the three R-CNN models? That will help us understand the portion of time consumed for the bottleneck: stage #1 (region proposal).

[@bruhm0ment767]

major part of that time is constituted from that stage for each of the networks, selective search in RCNN with sliding window approach, selective search with a CNN in Fast RCNN and a RPN for a Faster RCNN

[@geetaraikar6391]

Amazing explanation

[@praneethkrishna6782]

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[@animax-yz]

The video has basic explanation of the RCNN family which is great, it would be so helpful if you will make a video on "How the ROI pooling layer works" Fast RCNN, and "How the SPP layer works" Faster RCNN. Again, the explanation is so great, I didn't find any other videos which explains like yours, and please create videos on the topics which I referred. 😁😁

[@sneha6999]

Sure , I will be work on it and soon will be uploading it

[@DullesCora]

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