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.
Split files for the Individual Tree Detection Dataset.
india_all.csv / india_all.txt: all released images.india_train.csv / india_train.txt: fixed train split.india_id_test.csv / india_id_test.txt: fixed ID-test split.non_distshift_train_val_test.csv: full CSV with non_distshift_split labels.non_distshift_train.txt: train filenames.non_distshift_val.txt: validation alias.non_distshift_test.txt: test alias.non_distshift_id_test.txt: held-out ID-test filenames.traditional_cv_train.txttraditional_cv_val.txttraditional_cv_test.txttraditional_cv_id_test.txtThe split metadata includes state, region, and zone fields for geographic evaluation.