Hi I coded a YOLO model from scratch and just came to realise that my dataset does not fit the models output. This is what I mean: The model outputs a
S x S x (B * 5 + C) matrix. The shape of y (the answer for the first image) is (7,5). How will I make the model use the labels of mine. From what I knew and read the labels come in this format
x,y,w,h,objectiveness_score, class_scores for the yolo algorithm so how come that the model will output a 3D matrix while the labels are a 2d matrix.
How will I solve the issue of mine by using numpy and keras?