- Abstract: We present an instance segmentation algorithm trained and applied to a video of a group of heifers recorded in a winter finishing feedlot. We transform a fully convolutional class segmentation network into an instance segmentation network that learns to label each instance of a heifer separately. We introduce two new modules that teach the network to output a single prediction for every animal. These results are an early contribution towards behaviour analysis in winter finishing beef cattle for early detection of welfare-related problems, namely lameness.
- Keywords: deep learning, instance segmentation, precision farming, convolutional neural networks
- TL;DR: Instance segmentation algorithm to identify beef cattle in a winter finishing feedlot facility