{"_id": {"$oid": "6a4fee23152422716231660a"}, "name": "tomato-map", "slug": "tomato-map", "version": "1.18.0", "created_at": {"$date": "2026-07-09T18:53:23.788Z"}, "last_modified_at": {"$date": "2026-07-09T19:21:44.219Z"}, "last_deletion_at": null, "last_loaded_at": {"$date": "2026-07-09T22:27:34.523Z"}, "sample_collection_name": "samples.6a4fee23152422716231660a", "persistent": true, "media_type": "group", "group_field": "group", "group_media_types": {"pos_1": "image", "pos_2": "image", "pos_3": "image", "pos_4": "image", "macro": "image"}, "default_group_slice": "pos_1", "tags": [], "info": {"paper_title": "Tomato Multi-Angle Multi-Pose Dataset for Fine-Grained Phenotyping", "paper_doi": "10.1038/s41597-026-06926-9", "paper_venue": "Scientific Data (2026) 13:309", "dataset_doi": "10.5447/ipk/2025/14", "dataset_repository": "e!DAL, IPK Gatersleben", "code_repository": "https://github.com/0YJ/TomatoMAP", "project_homepage": "https://0yj.github.io/tomato_map/", "license": "CC BY 4.0", "det_cls_source": "64,464 images from a synchronized 4-camera rig (elevations 45/90/135/180 deg) + turntable (12 poses, 30 deg increments), 101 Solanum lycopersicum 'Money Maker' plants, JKI Quedlinburg greenhouse, captured 2023-08-16 to 2024-01-26.", "seg_source": "3,605 macrophotographs (Panasonic Lumix DMC-FZ1000), captured 2024-02-01 to 2024-05-07 -- a separate imaging task (ISAT annotation JSONs reference project folder 'MPTSTD_dataset_boost', not 'TomatoMAP'). Not sample-joinable with det/cls: different camera system, no plant_id/pose/session identifiers recorded, and the capture windows barely overlap.", "camera_calibration": "Per-camera intrinsics + distortion coefficients for the 4 rig cameras are in data/calibration/pi{1-4}.npz (not attached to FiftyOne samples; no extrinsic rig geometry is provided, only the nominal elevation/turntable angles).", "known_data_notes": "1 of 64,464 det images has no YOLO label file (see the 'det-missing-labels' saved view). Paper Table 3 lists 91,120 instances for BBCH 80-89, but the exact count in the released data is 9,120 (10,560 + 29,328 + 9,120 = 64,464 total classified images) -- likely a typo in the publication."}, "app_config": {"color_scheme": {"_id": {"$oid": "6a4ff036fc8e28564ff79f80"}, "color_pool": ["#ee0000", "#ee6600", "#993300", "#996633", "#999900", "#009900", "#003300", "#009999", "#000099", "#0066ff", "#6600ff", "#cc33cc", "#777799"], "color_by": "value", "fields": [], "label_tags": {"fieldColor": null, "valueColors": []}, "multicolor_keypoints": false, "opacity": 0.7, "show_skeletons": true, "default_mask_targets_colors": [], "colorscales": [], "default_colorscale": {"name": "viridis", "list": []}}, "dynamic_groups_target_frame_rate": 30, "grid_media_field": "filepath", "media_fallback": false, "media_fields": ["filepath"], "modal_media_field": "filepath", "plugins": {}}, "classes": {"ground_truth": ["12mm", "2mm", "4mm", "6mm", "8mm", "axillary shoot", "batch of flowers", "batch of 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