We need to improve the segmentation of a bovine (cow, bull, etc) from a image, that means, to have a great contour of the bovine, extracting the noises without overcutting.
It´s possible to use one or a combination of techniques, such as semantic segmentation, neural network, background subtraction, color filtering, etc.
We can provide some images of the environment, which consist of background without the bovine, and the bovine walking in front of the camera. This images we can provide can be in Raw version of the colored images, or the colored image itself. We can also provide some background subtraction imagens from techniques we apply and also the final result, but the idea is to have better results.
We will evaluate the quality of the work with our database of 40.000+ pictures of bovine we took.
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