This dataset supports individual tree-crown object detection from high-resolution geospatial image chips in agroforestry and agricultural settings in India. Each release includes GeoTIFF imagery, clean COCO-format annotations for a single category (tree), image-level metadata and manifests, and multiple train/evaluation split definitions—including a fixed train / in-distribution test partition and a non–distribution-shift protocol for geographic robustness. The split metadata includes state, region, and zone fields to support geographic evaluation beyond random image splits.
This release is provided for NeurIPS review and research evaluation.
Final public redistribution and reuse terms must be confirmed by the dataset authors before camera-ready/public release, including any constraints inherited from imagery providers. Until those terms are finalized, do not redistribute the imagery outside the review/research access channel.