The 360VOTS dataset is a comprehensive benchmark designed for advancing research in omnidirectional visual object tracking (VOT) and video object segmentation (VOS). The dataset comprises 290 sequences in total, with 170 sequences for training and 120 sequences for testing. Each sequence consists of high-resolution 4K RGB frames, capturing a wide variety of real-world scenes and object types from a 360-degree perspective.
For every frame in each sequence, we provide… See the full description on the dataset page:
https://huggingface.co/datasets/xuyzshaun/360VOTS.
