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.