Hi @arnaud Thanks for opening up this discussion. I have been following this thread since it was posted. Any good progress on your side?
And @jeremy thanks for the lesson 7, that was definitely the peach of the part-1 course. Regarding detection in lesson 7, I’m aware of the state of art methods like RCNN,YOLO,SSD,etc for object detection.
Is there a way we can exploit keras functional api to predict multiple bounding boxes if there are multiple fishes in the image - from lesson7 code . Or any other way to achieve this without the advanced state-of-art detection methods, since I’m working on multiple instance object detection of just single class?