PigTrack: a diverse and challenging benchmark dataset for multi-object tracking of pigs

Note: To better find the files to download, select "Change View: Tree". This dataset is associated with the paper "Benchmarking pig detection and tracking under diverse and challenging conditions" published in Computers and Electronics in Agriculture. The dataset contains: 80 video sequences from conventional pig farming with multi-object tracking annotations together with a 'split.txt' file containing the predefined training, validation and test splits The original mp4 videos of the 80 video sequences A visualization of the annotated bounding boxes for all 80 videos Model weights of MOTRv2 and MOTIP trained for pig tracking. Pre-computed bounding box priors that can be used to train MOTRv2. A thorough explanation of all files contained in this data repository can be found in ReadMe.txt. The github repository associated with this dataset can be found at https://github.com/jonaden94/PigBench. It includes commands to automatically download the files from this data repository that are required for model training, evaluation, and inference.