SPIN UV SPIN UV is a multimodal dataset for unstructured scene understanding in dense urban villages. It was collected from a motor driven, human steered single track vehicle and pairs front facing visual observations with frame anchored riding state signals. The dataset is intended to support semantic segmentation, RGB D perception, state conditioned traversability, temporal consistency, and motion aware scene understanding in narrow, weakly structured urban village corridors. SPIN stands for Scene, Proprioception, Interaction, and Navigation. UV refers to the urban village setting that anchors the dataset. Dataset Components The release contains two complementary parts. dataset seg split/ This is the ready to train semantic segmentation subset. It contains anonymized RGB images and COCO polygon annotations, split at sequence level into train, validation, and test partitions. Split Images COCO annotations : : train 688 32,440 val 92 3,624 test 88 4,158 total 868 40,222 Each split folder contains PNG images and one COCO annotation file: The split is sequence level rather than image level, so frames sampled from the same traversal do not cross train, validation, and test partitions.…
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