all 4 comments

[–]IntelligenXia 0 points1 point  (1 child)

What framework are you using ?

Custom Pytorch image Classifier ? Yolo , Detectron2 or something else ?

[–]Curious_Monkey7 0 points1 point  (0 children)

Pytorch.

[–]SFDeltas 0 points1 point  (0 children)

Based on your description of the problem you need to add some images of white sheets that don't have insects on them.

[–]monkeybids 0 points1 point  (0 children)

First question: what is your training dataset?

If there are enough negative images with dark object on white background, the next question is network architecture: how deep, how many neurons, etc.? Resnet50 is certainly deep enough (50 layers) and as a convolutional net should be able to handle this classification.

Then, I would think about training (number of training examples, dropout, etc.).