I want to perform object detection and object counting on the given below image using neural networks. My first step will be to annotate and label each object present in the training set of images. In my case, I want to detect the black metal objects present in the image. So as you can see there are many instances of an object in a single image and hence labeling tasks would be very tedious and time-consuming for me.
I want to know whether I need to draw a bounding box around each object while labeling the images or labeling a few of them will do my job? Also is there any better method to annotate data or is there any better way to solve this type of problem?