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pansy", "Yellow rocket", "Common wild oat", "Red poppy", "Rye brome", "Knotgrass", "Prickly lettuce", "Copse-bindweed", "Manyseeds", "Common buckwheat", "Chives", "Garlic", "Soybean", "Wild carrot", "Field mustard", "Giant fennel", "Common horsetail", "Common dandelion", "Vegetation"]}, "default_classes": [], "mask_targets": {"segmentation": {"0": "Soil", "1": "Maize", "2": "Maize two-leaf stage", "3": "Maize four-leaf stage", "4": "Maize six-leaf stage", "5": "Maize eight-leaf stage", "6": "Maize max", "7": "Sugar beet", "8": "Sugar beet two-leaf stage", "9": "Sugar beet four-leaf stage", "10": "Sugar beet six-leaf stage", "11": "Sugar beet eight-leaf stage", "12": "Sugar beet Max", "13": "Pea", "14": "Courgette", "15": "Pumpkins", "16": "Radish", "17": "Asparagus", "18": "Potato", "19": "Flat leaf parsley", "20": "Curly leaf parsley", "21": "Cowslip", "22": "Poppy", "23": "Hemp", "24": "Sunflower", "25": "Sage", "26": "Common bean", "27": "Faba bean", "28": "Clover", "29": "Hybrid goosefoot", "30": "Black-bindweed", "31": "Cockspur grass", "32": "Red-root amaranth", "33": "White goosefoot", "34": "Thorn apple", "35": "Potato weed", "36": "German chamomile", "37": "Saltbush", "38": "Creeping thistle", "39": "Field milk thistle", "40": "Purslane", "41": "Black nightshade", "42": "Mercuries", "43": "Spurge", "44": "Pale persicaria", "45": "Geraniums", "46": "Cleavers", "47": "Whitetop", "48": "Meadow-grass", "49": "Frosted orach", "50": "Black horehound", "51": "Shepherds purse", "52": "Field bindweed", "53": "Common mugwort", "54": "Hedge mustard", "55": "Groundsel", "56": "Speedwell", "57": "Broadleaf plantain", "58": "White ball-mustard", "59": "Peppermint", "60": "Field pennycress", "61": "Corn spurry", "62": "Purple crabgrass", "63": "Common fumitory", "64": "Ivy-leaved speedwell", "65": "Annual meadow grass", "66": "Redshank", "67": "Common hemp-nettle", "68": "Rough meadow-grass", "69": "Green bristlegrass", "70": "Small geranium", "71": "Cornflower", "72": "Common corn-cockle", "73": "Creeping crowfoot", "74": "Wall barley", "75": "Annual fescue", "76": "Purple dead-nettle", "77": "Ribwort plantain", "78": "Pineappleweed", "79": "Common chickweed", "80": "Hedge mustard", "81": "Soft brome", "82": "Wild pansy", "83": "Yellow rocket", "84": "Common wild oat", "85": "Red poppy", "86": "Rye brome", "87": "Knotgrass", "88": "Prickly lettuce", "89": "Copse-bindweed", "90": "Manyseeds", "91": "Common buckwheat", "92": "Chives", "93": "Garlic", "94": "Soybean", "95": "Wild carrot", "96": "Field mustard", "97": "Giant fennel", "98": "Common horsetail", "99": "Common dandelion", "255": "Vegetation"}}, "default_mask_targets": {}, "skeletons": {}, "camera_intrinsics": {}, "static_transforms": {}, "sample_fields": [{"name": "last_modified_at", "ftype": "fiftyone.core.fields.DateTimeField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "last_modified_at", "description": "Timestamp when this sample was last modified.", "info": null, "read_only": true, "created_at": {"$date": "2026-07-08T21:02:01.562Z"}}, {"name": "_media_type", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "_media_type", "description": null, "info": null, "read_only": false, "created_at": {"$date": "2026-07-08T21:02:01.562Z"}}, {"name": "created_at", "ftype": "fiftyone.core.fields.DateTimeField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "created_at", "description": "Timestamp when this sample was added to the dataset.", "info": null, "read_only": true, "created_at": {"$date": "2026-07-08T21:02:01.562Z"}}, {"name": "metadata", "ftype": "fiftyone.core.fields.EmbeddedDocumentField", "embedded_doc_type": "fiftyone.core.metadata.ImageMetadata", "subfield": null, "fields": [{"name": "size_bytes", "ftype": "fiftyone.core.fields.IntField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "size_bytes", "description": null, "info": null, "read_only": false, "created_at": {"$date": "2026-07-21T18:21:49.950Z"}}, {"name": "mime_type", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "mime_type", "description": null, "info": null, "read_only": false, "created_at": {"$date": "2026-07-21T18:21:49.950Z"}}, {"name": "width", "ftype": "fiftyone.core.fields.IntField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "width", "description": null, "info": null, "read_only": false, "created_at": {"$date": "2026-07-21T18:21:49.950Z"}}, {"name": "height", "ftype": "fiftyone.core.fields.IntField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "height", "description": null, "info": null, "read_only": false, "created_at": {"$date": "2026-07-21T18:21:49.950Z"}}, {"name": "num_channels", "ftype": "fiftyone.core.fields.IntField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "num_channels", "description": null, "info": null, "read_only": false, "created_at": {"$date": "2026-07-21T18:21:49.950Z"}}], "db_field": "metadata", "description": null, "info": null, "read_only": false, "created_at": {"$date": "2026-07-21T18:21:49.950Z"}}, {"name": "id", "ftype": "fiftyone.core.fields.ObjectIdField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "_id", "description": "Unique FiftyOne sample ID (MongoDB ObjectId).", "info": null, "read_only": false, "created_at": {"$date": "2026-07-08T21:02:01.562Z"}}, {"name": "tags", "ftype": "fiftyone.core.fields.ListField", "embedded_doc_type": null, "subfield": "fiftyone.core.fields.StringField", "fields": [], "db_field": "tags", "description": "Sample-level tags. The source release ships no train/val/test split, so any split tags here are custom. Also carries the triage_tier_1/2/3 tags built in scripts/build_triage_queue.py.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-08T21:02:01.562Z"}}, {"name": "filepath", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "filepath", "description": "Absolute path to the source RGB image (1920x1088 JPEG).", "info": null, "read_only": false, "created_at": {"$date": "2026-07-08T21:02:01.562Z"}}, {"name": "_rand", "ftype": "fiftyone.core.fields.FloatField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "_rand", "description": null, "info": null, "read_only": false, "created_at": {"$date": "2026-07-08T21:02:01.562Z"}}, {"name": "_dataset_id", "ftype": "fiftyone.core.fields.ObjectIdField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "_dataset_id", "description": null, "info": null, "read_only": false, "created_at": {"$date": "2026-07-08T21:02:01.562Z"}}, {"name": "recording_set", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "recording_set", "description": "Which of the two CropAndWeed capture campaigns this image comes from: 'Application Set' (real commercial farm sites, uncontrolled conditions) or 'Experimental Set' (dedicated plots cultivated to enrich rare-species representation). NOTE: this signal is real but class-dependent -- checked across 19 rare classes, only 6 skew toward Experimental Set, 13 skew the other way (scripts/recording_set_signal.py). Don't generalize from one class.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-08T21:02:02.654Z"}}, {"name": "session", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "session", "description": "4-digit recording-session identifier, parsed from the filename. NOT globally unique on its own -- both recording_set values reuse the same session-ID strings (128 collisions found). Use (recording_set, session) together for a true unique session (929 total, not the 801 a naive distinct('session') would suggest).", "info": null, "read_only": false, "created_at": {"$date": "2026-07-08T21:02:02.658Z"}}, {"name": "image_id", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "image_id", "description": "4-digit image identifier WITHIN the session, parsed from the filename. Resets to 0000 at the start of every session -- repetition across the dataset is a filename-convention artifact, NOT evidence of duplicate or near-duplicate images. Use `uniqueness` / `compute_visualization` instead to check for actual visual similarity.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-08T21:02:02.661Z"}}, {"name": "ground_truth", "ftype": "fiftyone.core.fields.EmbeddedDocumentField", "embedded_doc_type": "fiftyone.core.labels.Detections", "subfield": null, "fields": [{"name": "detections", "ftype": "fiftyone.core.fields.ListField", "embedded_doc_type": "fiftyone.core.labels.Detection", "subfield": "fiftyone.core.fields.EmbeddedDocumentField", "fields": [{"name": "id", "ftype": "fiftyone.core.fields.ObjectIdField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "_id", "description": "Unique ID of this individual Detection label (MongoDB ObjectId).", "info": null, "read_only": false, "created_at": null}, {"name": "tags", "ftype": "fiftyone.core.fields.ListField", "embedded_doc_type": null, "subfield": "fiftyone.core.fields.StringField", "fields": [], "db_field": "tags", "description": "Standard Detection tags list; unused (empty) on this dataset.", "info": null, "read_only": false, "created_at": null}, {"name": "attributes", "ftype": "fiftyone.core.fields.DictField", "embedded_doc_type": "fiftyone.core.labels.Attribute", "subfield": "fiftyone.core.fields.EmbeddedDocumentField", "fields": [], "db_field": "attributes", "description": "Standard Detection dynamic-attributes dict; unused (empty) on this dataset.", "info": null, "read_only": false, "created_at": null}, {"name": "label", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "label", "description": "Species/growth-stage class name, or 'Vegetation' -- the dataset's explicit fallback bucket (label_id 255) for instances too small (<~16x16px), too ambiguous, or otherwise excluded from fine-grained classification. 'Vegetation' is NOT a real species; it drives the headline 33,000:1 class-imbalance number, which is 12,132:1 (Green bristlegrass vs. Black horehound) once excluded.", "info": null, "read_only": false, "created_at": null}, {"name": "bounding_box", "ftype": "fiftyone.core.fields.ListField", "embedded_doc_type": null, "subfield": "fiftyone.core.fields.FloatField", "fields": [], "db_field": "bounding_box", "description": "Normalized [x, y, width, height] bounding box, top-left origin.", "info": null, "read_only": false, "created_at": null}, {"name": "mask", "ftype": "fiftyone.core.fields.ArrayField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "mask", "description": "Standard Detection instance-mask array field; unused (null) -- this dataset's masks live in the separate `segmentation` field instead.", "info": null, "read_only": false, "created_at": null}, {"name": "mask_path", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "mask_path", "description": "Standard Detection instance-mask path field; unused (null) here.", "info": null, "read_only": false, "created_at": null}, {"name": "confidence", "ftype": "fiftyone.core.fields.FloatField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "confidence", "description": "Standard Detection field; unused (null) on this hand-labeled ground truth.", "info": null, "read_only": false, "created_at": null}, {"name": "index", "ftype": "fiftyone.core.fields.IntField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "index", "description": "Standard Detection field; unused (null) here (no tracking IDs on this dataset).", "info": null, "read_only": false, "created_at": null}, {"name": "bbox_area_px", "ftype": "fiftyone.core.fields.FloatField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "bbox_area_px", "description": "Bounding box area in pixels^2: bounding_box[2]*bounding_box[3]*metadata.width*metadata.height. Dataset-wide: min=0, median=936, mean=13,681. Small area is a real, near-zero-cost proxy for QA risk -- the 23 known out-of-bounds-stem-point defects have a mean area of 1,423.9 px^2, ~10x smaller than the dataset-wide mean (scripts/compute_areas.py).", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T19:38:49.251Z"}}, {"name": "label_id", "ftype": "fiftyone.core.fields.IntField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "label_id", "description": "Raw numeric class id from the source release: 0-99 for real species/growth-stage classes, or 255 for the 'Vegetation' fallback.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T19:38:49.251Z"}}, {"name": "stem_y", "ftype": "fiftyone.core.fields.FloatField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "stem_y", "description": "Pixel-coordinate Y of this plant's stem (root) position. See `stem_x` for the known-defect note.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T19:38:49.251Z"}}, {"name": "stem_x", "ftype": "fiftyone.core.fields.FloatField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "stem_x", "description": "Pixel-coordinate X of this plant's stem (root) position, from the source bboxes/*.csv. Also independently materialized as a Keypoint in `stem_points`. 23 detections have a stem point that falls OUTSIDE their own bounding box -- a real, verified annotation defect (see scripts/dataset_facts.py).", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T19:38:49.251Z"}}, {"name": "pred_curated_eval", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "pred_curated_eval", "description": "Per-detection evaluate_detections() outcome ('tp'/'fn') for the pred_curated vs. ground_truth comparison, written onto ground_truth itself. Only populated on the 15-image held-out Speedwell test set.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T21:17:24.681Z"}}, {"name": "pred_curated_eval_id", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "pred_curated_eval_id", "description": "ID of the matched pred_curated detection, if any. Only populated on the 15-image held-out Speedwell test set.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T21:17:24.708Z"}}, {"name": "pred_curated_eval_iou", "ftype": "fiftyone.core.fields.FloatField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "pred_curated_eval_iou", "description": "IoU with the matched pred_curated detection, if any. Only populated on the 15-image held-out Speedwell test set.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T21:17:24.737Z"}}, {"name": "pred_random_eval", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "pred_random_eval", "description": "Per-detection evaluate_detections() outcome ('tp'/'fn') for the pred_random vs. ground_truth comparison, written onto ground_truth itself. Only populated on the 15-image held-out Speedwell test set.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T21:17:26.458Z"}}, {"name": "pred_random_eval_id", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "pred_random_eval_id", "description": "ID of the matched pred_random detection, if any. Only populated on the 15-image held-out Speedwell test set.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T21:17:26.490Z"}}, {"name": "pred_random_eval_iou", "ftype": "fiftyone.core.fields.FloatField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "pred_random_eval_iou", "description": "IoU with the matched pred_random detection, if any. Only populated on the 15-image held-out Speedwell test set.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T21:17:26.520Z"}}], "db_field": "detections", "description": "List of per-plant-instance Detection labels for this image.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-08T21:02:02.666Z"}}], "db_field": "ground_truth", "description": "Ground-truth plant instance annotations, one Detection per hand-labeled plant. Auto-generated from a pre-segmentation pass, then manually corrected; ambiguous batches were reviewed by annotator majority vote.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-08T21:02:02.666Z"}}, {"name": "stem_points", "ftype": "fiftyone.core.fields.EmbeddedDocumentField", "embedded_doc_type": "fiftyone.core.labels.Keypoints", "subfield": null, "fields": [{"name": "keypoints", "ftype": "fiftyone.core.fields.ListField", "embedded_doc_type": "fiftyone.core.labels.Keypoint", "subfield": "fiftyone.core.fields.EmbeddedDocumentField", "fields": [{"name": "id", "ftype": "fiftyone.core.fields.ObjectIdField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "_id", "description": "Unique ID of this individual Keypoint label (MongoDB ObjectId).", "info": null, "read_only": false, "created_at": null}, {"name": "tags", "ftype": "fiftyone.core.fields.ListField", "embedded_doc_type": null, "subfield": "fiftyone.core.fields.StringField", "fields": [], "db_field": "tags", "description": "Standard Keypoint tags list; unused (empty) on this dataset.", "info": null, "read_only": false, "created_at": null}, {"name": "attributes", "ftype": "fiftyone.core.fields.DictField", "embedded_doc_type": "fiftyone.core.labels.Attribute", "subfield": "fiftyone.core.fields.EmbeddedDocumentField", "fields": [], "db_field": "attributes", "description": "Standard Keypoint dynamic-attributes dict; unused (empty) on this dataset.", "info": null, "read_only": false, "created_at": null}, {"name": "label", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "label", "description": "Species/growth-stage class name, matching the corresponding ground_truth detection.", "info": null, "read_only": false, "created_at": null}, {"name": "points", "ftype": "fiftyone.core.fields.KeypointsField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "points", "description": "Single normalized [[x, y]] point marking the plant's stem position.", "info": null, "read_only": false, "created_at": null}, {"name": "confidence", "ftype": "fiftyone.core.fields.ListField", "embedded_doc_type": null, "subfield": "fiftyone.core.fields.FloatField", "fields": [], "db_field": "confidence", "description": "Standard Keypoint field; unused (null) on this hand-labeled ground truth.", "info": null, "read_only": false, "created_at": null}, {"name": "index", "ftype": "fiftyone.core.fields.IntField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "index", "description": "Standard Keypoint field; unused (null) here (no tracking IDs on this dataset).", "info": null, "read_only": false, "created_at": null}, {"name": "label_id", "ftype": "fiftyone.core.fields.IntField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "label_id", "description": "Raw numeric class id, matching ground_truth.detections.label_id.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T19:38:49.251Z"}}], "db_field": "keypoints", "description": "List of per-plant-instance Keypoint labels for this image.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-08T21:02:02.670Z"}}], "db_field": "stem_points", "description": "One Keypoint per annotated plant instance, marking its stem/root position. The dataset authors treat stem localization as a first-class task (paper Section 5.3), so this is the same position as `ground_truth.detections.stem_x/stem_y`, materialized as an independent Keypoints field so it can be visualized/queried on its own.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-08T21:02:02.670Z"}}, {"name": "segmentation", "ftype": "fiftyone.core.fields.EmbeddedDocumentField", "embedded_doc_type": "fiftyone.core.labels.Segmentation", "subfield": null, "fields": [{"name": "id", "ftype": "fiftyone.core.fields.ObjectIdField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "_id", "description": "Unique ID of this sample's Segmentation label (MongoDB ObjectId).", "info": null, "read_only": false, "created_at": {"$date": "2026-07-08T21:02:02.675Z"}}, {"name": "tags", "ftype": "fiftyone.core.fields.ListField", "embedded_doc_type": null, "subfield": "fiftyone.core.fields.StringField", "fields": [], "db_field": "tags", "description": "Standard Segmentation tags list; unused (empty) on this dataset.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-08T21:02:02.675Z"}}, {"name": "mask", "ftype": "fiftyone.core.fields.ArrayField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "mask", "description": "In-database mask array field; unused (null) -- this dataset's masks are referenced via `mask_path` instead, to avoid duplicating ~8k full-resolution masks in the database.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-08T21:02:02.675Z"}}, {"name": "mask_path", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "mask_path", "description": "Path to the single-channel uint8 PNG semantic mask on disk (1088x1920, matching the source image).", "info": null, "read_only": false, "created_at": {"$date": "2026-07-08T21:02:02.675Z"}}], "db_field": "segmentation", "description": "Per-pixel semantic segmentation mask referencing a single-channel PNG (`mask_path`). Pixel value 0 = Soil/background; other values map to species via `dataset.mask_targets['segmentation']` (101 entries: 99 species/growth-stage classes + Soil + the Vegetation fallback).", "info": null, "read_only": false, "created_at": {"$date": "2026-07-08T21:02:02.675Z"}}, {"name": "moisture", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "moisture", "description": "Soil moisture at capture time: dry, medium, or wet.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-08T21:02:02.680Z"}}, {"name": "moisture_id", "ftype": "fiftyone.core.fields.IntField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "moisture_id", "description": "Raw numeric encoding of `moisture` (0=dry, 1=medium, 2=wet).", "info": null, "read_only": false, "created_at": {"$date": "2026-07-08T21:02:02.685Z"}}, {"name": "soil", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "soil", "description": "Soil granularity at capture time: fine, medium, or coarse.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-08T21:02:02.691Z"}}, {"name": "soil_id", "ftype": "fiftyone.core.fields.IntField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "soil_id", "description": "Raw numeric encoding of `soil` (0=fine, 1=medium, 2=coarse).", "info": null, "read_only": false, "created_at": {"$date": "2026-07-08T21:02:02.698Z"}}, {"name": "lighting", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "lighting", "description": "Lighting condition at capture time: sunny or diffuse.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-08T21:02:02.704Z"}}, {"name": "lighting_id", "ftype": "fiftyone.core.fields.IntField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "lighting_id", "description": "Raw numeric encoding of `lighting` (0=sunny, 1=diffuse).", "info": null, "read_only": false, "created_at": {"$date": "2026-07-08T21:02:02.709Z"}}, {"name": "separability", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "separability", "description": "Subjective difficulty of separating plants from soil/each other, as assessed by the original annotators: easy, medium, or hard.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-08T21:02:02.715Z"}}, {"name": "separability_id", "ftype": "fiftyone.core.fields.IntField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "separability_id", "description": "Raw numeric encoding of `separability` (0=easy, 1=medium, 2=hard).", "info": null, "read_only": false, "created_at": {"$date": "2026-07-08T21:02:02.720Z"}}, {"name": "uniqueness", "ftype": "fiftyone.core.fields.FloatField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "uniqueness", "description": "FiftyOne Brain compute_uniqueness score (default embedding model) -- how visually redundant this whole image is relative to the rest of the dataset. Despite the dataset's own capture protocol spacing images >=3m apart within a session specifically to avoid redundancy, the 50 least-unique samples in the whole dataset still concentrate into just 16 of 929 sessions (scripts/dataset_facts.py).", "info": null, "read_only": false, "created_at": {"$date": "2026-07-15T21:13:35.613Z"}}, {"name": "cradio_embeddings", "ftype": "fiftyone.core.fields.VectorField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "cradio_embeddings", "description": "Whole-image embedding vector (2560-dim) from NVIDIA CRADIOv4-H (nv_labs/c-radio_v4-h), a multi-teacher-distilled vision foundation model (SigLIP2 + DINOv3 + SAM3 teachers). Computed dataset-wide (scripts/compute_foundation_embeddings.py).", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T17:31:33.762Z"}}, {"name": "seg_total_px", "ftype": "fiftyone.core.fields.IntField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "seg_total_px", "description": "Total pixel count of this image's segmentation mask (equals metadata.width * metadata.height).", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T17:32:24.462Z"}}, {"name": "seg_foreground_px", "ftype": "fiftyone.core.fields.IntField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "seg_foreground_px", "description": "Count of non-background (non-Soil, pixel value != 0) pixels in the segmentation mask -- total 'vegetation coverage' area for this image.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T17:32:24.469Z"}}, {"name": "seg_foreground_fraction", "ftype": "fiftyone.core.fields.FloatField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "seg_foreground_fraction", "description": "seg_foreground_px / seg_total_px -- fraction of the frame covered by any labeled plant. Dataset-wide: mean=3.3%, median=1.1% -- most of a top-down field photo is bare soil.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T17:32:24.475Z"}}, {"name": "seg_class_areas", "ftype": "fiftyone.core.fields.DictField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "seg_class_areas", "description": "Dict mapping each class name present in this image's segmentation mask to its pixel count. Most images have only 2-5 distinct classes (verified directly, not assumed).", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T17:32:24.481Z"}}, {"name": "cradio_heatmap", "ftype": "fiftyone.core.fields.EmbeddedDocumentField", "embedded_doc_type": "fiftyone.core.labels.Heatmap", "subfield": null, "fields": [{"name": "id", "ftype": "fiftyone.core.fields.ObjectIdField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "_id", "description": "Unique ID of this sample's Heatmap label (MongoDB ObjectId).", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T17:49:45.655Z"}}, {"name": "tags", "ftype": "fiftyone.core.fields.ListField", "embedded_doc_type": null, "subfield": "fiftyone.core.fields.StringField", "fields": [], "db_field": "tags", "description": "Standard Heatmap tags list; unused (empty) on this dataset.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T17:49:45.655Z"}}, {"name": "map", "ftype": "fiftyone.core.fields.ArrayField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "map", "description": "In-database uint8 attention-map array (1088x1920, matches the source image).", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T17:49:45.655Z"}}, {"name": "map_path", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "map_path", "description": "Standard Heatmap field; unused (null) -- this heatmap is stored as an in-database array via `map` instead.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T17:49:45.655Z"}}, {"name": "range", "ftype": "fiftyone.core.fields.HeatmapRangeField", "embedded_doc_type": null, "subfield": "fiftyone.core.fields.FloatField", "fields": [], "db_field": "range", "description": "Value range (min, max) of the heatmap, used for color scaling in the App.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T17:49:45.655Z"}}], "db_field": "cradio_heatmap", "description": "CRADIOv4-H spatial attention heatmap (PCA-based visualization of dense features), rendered as a FiftyOne Heatmap overlay. A qualitative cross-check of whether model attention agrees with human-drawn ground_truth boxes -- computed dataset-wide, not yet numerically graded.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T17:49:45.655Z"}}, {"name": "qwen_embeddings", "ftype": "fiftyone.core.fields.VectorField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "qwen_embeddings", "description": "Whole-image embedding vector (2048-dim) from Qwen3-VL-Embedding-2B, a multimodal (image+text) embedding model. Supports natural-language similarity queries via embed_prompt -- tested with 5 text prompts targeting Black nightshade, all recovered 0/9 true positives, the same 'whole-image embeddings miss small objects' failure as CLIP.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T17:52:14.291Z"}}, {"name": "cradio_representativeness", "ftype": "fiftyone.core.fields.FloatField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "cradio_representativeness", "description": "FiftyOne Brain compute_representativeness score using cradio_embeddings -- how typical this image is of the dataset's visual clusters. VERIFIED CAVEAT: does NOT correlate with rare-species content (0/9 overlap with known Black nightshade samples) -- it instead flags unusually dense, cluttered scenes (e.g. Meadow-grass appearing 96 times across just 17 images). 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Same verified caveat as cradio_representativeness -- flags dense/cluttered scenes, not rare species.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T18:32:22.954Z"}}, {"name": "qwen_uniqueness", "ftype": "fiftyone.core.fields.FloatField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "qwen_uniqueness", "description": "FiftyOne Brain compute_uniqueness score using qwen_embeddings (Qwen3-VL whole-image embedding space).", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T18:32:26.123Z"}}, {"name": "gt_coarse_zeroshot", "ftype": "fiftyone.core.fields.EmbeddedDocumentField", "embedded_doc_type": "fiftyone.core.labels.Detections", "subfield": null, "fields": [{"name": "detections", "ftype": "fiftyone.core.fields.ListField", "embedded_doc_type": "fiftyone.core.labels.Detection", "subfield": "fiftyone.core.fields.EmbeddedDocumentField", "fields": [{"name": "id", "ftype": "fiftyone.core.fields.ObjectIdField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "_id", "description": "Unique ID of this individual (remapped) Detection label (MongoDB ObjectId).", "info": null, "read_only": false, "created_at": null}, {"name": "tags", "ftype": "fiftyone.core.fields.ListField", "embedded_doc_type": null, "subfield": "fiftyone.core.fields.StringField", "fields": [], "db_field": "tags", "description": "Standard Detection tags list; unused (empty) here.", "info": null, "read_only": false, "created_at": null}, {"name": "attributes", "ftype": "fiftyone.core.fields.DictField", "embedded_doc_type": "fiftyone.core.labels.Attribute", "subfield": "fiftyone.core.fields.EmbeddedDocumentField", "fields": [], "db_field": "attributes", "description": "Standard Detection dynamic-attributes dict; unused (empty) here.", "info": null, "read_only": false, "created_at": null}, {"name": "label", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "label", "description": "One of 'maize', 'sugar beet', 'sunflower' -- the coarse class this fine-grained ground-truth detection was remapped to.", "info": null, "read_only": false, "created_at": null}, {"name": "bounding_box", "ftype": "fiftyone.core.fields.ListField", "embedded_doc_type": null, "subfield": "fiftyone.core.fields.FloatField", "fields": [], "db_field": "bounding_box", "description": "Normalized [x, y, width, height] bounding box, copied unchanged from the source ground_truth detection.", "info": null, "read_only": false, "created_at": null}, {"name": "mask", "ftype": "fiftyone.core.fields.ArrayField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "mask", "description": "Standard Detection field; unused (null) here.", "info": null, "read_only": false, "created_at": null}, {"name": "mask_path", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "mask_path", "description": "Standard Detection field; unused (null) here.", "info": null, "read_only": false, "created_at": null}, {"name": "confidence", "ftype": "fiftyone.core.fields.FloatField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "confidence", "description": "Standard Detection field; unused (null) -- this is ground truth, not a prediction.", "info": null, "read_only": false, "created_at": null}, {"name": "index", "ftype": "fiftyone.core.fields.IntField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "index", "description": "Standard Detection field; unused (null) here.", "info": null, "read_only": false, "created_at": null}, {"name": "zeroshot_eval", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "zeroshot_eval", "description": "Per-detection evaluate_detections() outcome ('tp'/'fp'/'fn') for the zeroshot_preds_topk vs. gt_coarse_zeroshot comparison.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T20:56:18.437Z"}}, {"name": "zeroshot_eval_id", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "zeroshot_eval_id", "description": "ID of the matched zeroshot_preds_topk detection, if any, for this evaluation.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T20:56:18.457Z"}}, {"name": "zeroshot_eval_iou", "ftype": "fiftyone.core.fields.FloatField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "zeroshot_eval_iou", "description": "IoU with the matched zeroshot_preds_topk detection, if any.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T20:56:18.476Z"}}, {"name": "yoloworld_eval", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "yoloworld_eval", "description": "Per-detection evaluate_detections() outcome ('tp'/'fp'/'fn') for the yoloworld_preds vs. gt_coarse_zeroshot comparison.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T20:57:00.286Z"}}, {"name": "yoloworld_eval_id", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "yoloworld_eval_id", "description": "ID of the matched yoloworld_preds detection, if any, for this evaluation.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T20:57:00.308Z"}}, {"name": "yoloworld_eval_iou", "ftype": "fiftyone.core.fields.FloatField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "yoloworld_eval_iou", "description": "IoU with the matched yoloworld_preds detection, if any.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T20:57:00.328Z"}}], "db_field": "detections", "description": "List of coarse-class ground-truth Detections for this dry-run-pool sample.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T20:39:55.946Z"}}], "db_field": "gt_coarse_zeroshot", "description": "Ground truth for the 597-image Auto-Labeling dry-run pool, remapped from fine-grained growth-stage labels down to the 3 coarse classes the zero-shot models were prompted with (maize/sugar beet/sunflower) -- built so predictions could be evaluated apples-to-apples. Null on the other 7,437 samples by design (scripts/auto_labeling_dry_run.py).", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T20:39:55.946Z"}}, {"name": "zeroshot_preds", "ftype": "fiftyone.core.fields.EmbeddedDocumentField", "embedded_doc_type": "fiftyone.core.labels.Detections", "subfield": null, "fields": [{"name": "detections", "ftype": "fiftyone.core.fields.ListField", "embedded_doc_type": "fiftyone.core.labels.Detection", "subfield": "fiftyone.core.fields.EmbeddedDocumentField", "fields": [{"name": "id", "ftype": "fiftyone.core.fields.ObjectIdField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "_id", "description": "Unique ID of this individual raw OWL-ViT prediction (MongoDB ObjectId).", "info": null, "read_only": false, "created_at": null}, {"name": "tags", "ftype": "fiftyone.core.fields.ListField", "embedded_doc_type": null, "subfield": "fiftyone.core.fields.StringField", "fields": [], "db_field": "tags", "description": "Standard Detection tags list; unused (empty) here.", "info": null, "read_only": false, "created_at": null}, {"name": "attributes", "ftype": "fiftyone.core.fields.DictField", "embedded_doc_type": "fiftyone.core.labels.Attribute", "subfield": "fiftyone.core.fields.EmbeddedDocumentField", "fields": [], "db_field": "attributes", "description": "Standard Detection dynamic-attributes dict; unused (empty) here.", "info": null, "read_only": false, "created_at": null}, {"name": "label", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "label", "description": "One of 'maize', 'sugar beet', 'sunflower' -- the class OWL-ViT was prompted with for this box.", "info": null, "read_only": false, "created_at": null}, {"name": "bounding_box", "ftype": "fiftyone.core.fields.ListField", "embedded_doc_type": null, "subfield": "fiftyone.core.fields.FloatField", "fields": [], "db_field": "bounding_box", "description": "Normalized [x, y, width, height] predicted bounding box.", "info": null, "read_only": false, "created_at": null}, {"name": "mask", "ftype": "fiftyone.core.fields.ArrayField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "mask", "description": "Standard Detection field; unused (null) here.", "info": null, "read_only": false, "created_at": null}, {"name": "mask_path", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "mask_path", "description": "Standard Detection field; unused (null) here.", "info": null, "read_only": false, "created_at": null}, {"name": "confidence", "ftype": "fiftyone.core.fields.FloatField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "confidence", "description": "OWL-ViT's raw confidence score. VERIFIED: never exceeds 0.033 across all 1.37M raw predictions in this pool -- a genuinely low-confidence, unreliable signal for this dataset's imagery.", "info": null, "read_only": false, "created_at": null}, {"name": "index", "ftype": "fiftyone.core.fields.IntField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "index", "description": "Standard Detection field; unused (null) here.", "info": null, "read_only": false, "created_at": null}], "db_field": "detections", "description": "List of raw OWL-ViT zero-shot Detection predictions for this dry-run-pool sample (can be hundreds per image).", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T20:40:05.251Z"}}], "db_field": "zeroshot_preds", "description": "RAW owlvit-base-patch16-torch zero-shot predictions (maize/sugar beet/sunflower) on the 597-image dry-run pool. VERIFIED FINDING: flooded output, ~2,300 boxes/image, confidence never exceeds 0.033 across 1.37M predictions -- essentially unusable as-is; see zeroshot_preds_topk for the filtered, actually-evaluated version. Null on the other 7,437 samples by design.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T20:40:05.251Z"}}, {"name": "zeroshot_preds_topk", "ftype": "fiftyone.core.fields.EmbeddedDocumentField", "embedded_doc_type": "fiftyone.core.labels.Detections", "subfield": null, "fields": [{"name": "detections", "ftype": "fiftyone.core.fields.ListField", "embedded_doc_type": "fiftyone.core.labels.Detection", "subfield": "fiftyone.core.fields.EmbeddedDocumentField", "fields": [{"name": "id", "ftype": "fiftyone.core.fields.ObjectIdField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "_id", "description": "Unique ID of this individual top-K-filtered OWL-ViT prediction (MongoDB ObjectId).", "info": null, "read_only": false, "created_at": null}, {"name": "tags", "ftype": "fiftyone.core.fields.ListField", "embedded_doc_type": null, "subfield": "fiftyone.core.fields.StringField", "fields": [], "db_field": "tags", "description": "Standard Detection tags list; unused (empty) here.", "info": null, "read_only": false, "created_at": null}, {"name": "attributes", "ftype": "fiftyone.core.fields.DictField", "embedded_doc_type": "fiftyone.core.labels.Attribute", "subfield": "fiftyone.core.fields.EmbeddedDocumentField", "fields": [], "db_field": "attributes", "description": "Standard Detection dynamic-attributes dict; unused (empty) here.", "info": null, "read_only": false, "created_at": null}, {"name": "label", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "label", "description": "One of 'maize', 'sugar beet', 'sunflower'.", "info": null, "read_only": false, "created_at": null}, {"name": "bounding_box", "ftype": "fiftyone.core.fields.ListField", "embedded_doc_type": null, "subfield": "fiftyone.core.fields.FloatField", "fields": [], "db_field": "bounding_box", "description": "Normalized [x, y, width, height] predicted bounding box.", "info": null, "read_only": false, "created_at": null}, {"name": "mask", "ftype": "fiftyone.core.fields.ArrayField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "mask", "description": "Standard Detection field; unused (null) here.", "info": null, "read_only": false, "created_at": null}, {"name": "mask_path", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "mask_path", "description": "Standard Detection field; unused (null) here.", "info": null, "read_only": false, "created_at": null}, {"name": "confidence", "ftype": "fiftyone.core.fields.FloatField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "confidence", "description": "OWL-ViT's raw confidence score for this (already top-K-filtered) box.", "info": null, "read_only": false, "created_at": null}, {"name": "index", "ftype": "fiftyone.core.fields.IntField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "index", "description": "Standard Detection field; unused (null) here.", "info": null, "read_only": false, "created_at": null}, {"name": "zeroshot_eval", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "zeroshot_eval", "description": "Per-detection evaluate_detections() outcome ('tp'/'fp'/'fn') vs. gt_coarse_zeroshot. VERIFIED: mAP=0.0066 overall -- almost every prediction here is a false positive.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T20:56:18.498Z"}}, {"name": "zeroshot_eval_id", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "zeroshot_eval_id", "description": "ID of the matched gt_coarse_zeroshot detection, if any.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T20:56:18.517Z"}}, {"name": "zeroshot_eval_iou", "ftype": "fiftyone.core.fields.FloatField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "zeroshot_eval_iou", "description": "IoU with the matched gt_coarse_zeroshot detection, if any.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T20:56:18.535Z"}}], "db_field": "detections", "description": "List of top-3-per-class-filtered OWL-ViT Detection predictions for this sample.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T20:50:41.604Z"}}], "db_field": "zeroshot_preds_topk", "description": "zeroshot_preds filtered down to the top-3 highest-confidence boxes per class per image -- the version actually run through evaluate_detections() (mAP=0.0066), since the raw field's ~2,300 boxes/image made evaluation intractable (projected 16+ hours). Null on the other 7,437 samples by design.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T20:50:41.604Z"}}, {"name": "zeroshot_eval_tp", "ftype": "fiftyone.core.fields.IntField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "zeroshot_eval_tp", "description": "evaluate_detections() true-positive count for zeroshot_preds_topk vs. gt_coarse_zeroshot.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T20:56:18.381Z"}}, {"name": "zeroshot_eval_fp", "ftype": "fiftyone.core.fields.IntField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "zeroshot_eval_fp", "description": "evaluate_detections() false-positive count for zeroshot_preds_topk vs. gt_coarse_zeroshot -- the large majority of predictions, given mAP=0.0066.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T20:56:18.398Z"}}, {"name": "zeroshot_eval_fn", "ftype": "fiftyone.core.fields.IntField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "zeroshot_eval_fn", "description": "evaluate_detections() false-negative count for zeroshot_preds_topk vs. gt_coarse_zeroshot.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T20:56:18.417Z"}}, {"name": "yoloworld_preds", "ftype": "fiftyone.core.fields.EmbeddedDocumentField", "embedded_doc_type": "fiftyone.core.labels.Detections", "subfield": null, "fields": [{"name": "detections", "ftype": "fiftyone.core.fields.ListField", "embedded_doc_type": "fiftyone.core.labels.Detection", "subfield": "fiftyone.core.fields.EmbeddedDocumentField", "fields": [{"name": "id", "ftype": "fiftyone.core.fields.ObjectIdField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "_id", "description": "Unique ID of this individual YOLO-World prediction (MongoDB ObjectId) -- moot in practice, since this field contains no detections.", "info": null, "read_only": false, "created_at": null}, {"name": "tags", "ftype": "fiftyone.core.fields.ListField", "embedded_doc_type": null, "subfield": "fiftyone.core.fields.StringField", "fields": [], "db_field": "tags", "description": "Standard Detection tags list; unused (empty) here.", "info": null, "read_only": false, "created_at": null}, {"name": "attributes", "ftype": "fiftyone.core.fields.DictField", "embedded_doc_type": "fiftyone.core.labels.Attribute", "subfield": "fiftyone.core.fields.EmbeddedDocumentField", "fields": [], "db_field": "attributes", "description": "Standard Detection dynamic-attributes dict; unused (empty) here.", "info": null, "read_only": false, "created_at": null}, {"name": "label", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "label", "description": "One of 'maize', 'sugar beet', 'sunflower', if any prediction had existed.", "info": null, "read_only": false, "created_at": null}, {"name": "bounding_box", "ftype": "fiftyone.core.fields.ListField", "embedded_doc_type": null, "subfield": "fiftyone.core.fields.FloatField", "fields": [], "db_field": "bounding_box", "description": "Normalized [x, y, width, height] predicted bounding box, if any prediction had existed.", "info": null, "read_only": false, "created_at": null}, {"name": "mask", "ftype": "fiftyone.core.fields.ArrayField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "mask", "description": "Standard Detection field; unused (null) here.", "info": null, "read_only": false, "created_at": null}, {"name": "mask_path", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "mask_path", "description": "Standard Detection field; unused (null) here.", "info": null, "read_only": false, "created_at": null}, {"name": "confidence", "ftype": "fiftyone.core.fields.FloatField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "confidence", "description": "YOLO-World's confidence score, if any prediction had existed.", "info": null, "read_only": false, "created_at": null}, {"name": "index", "ftype": "fiftyone.core.fields.IntField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "index", "description": "Standard Detection field; unused (null) here.", "info": null, "read_only": false, "created_at": null}, {"name": "yoloworld_eval", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "yoloworld_eval", "description": "Per-detection evaluate_detections() outcome vs. gt_coarse_zeroshot -- moot in practice, since yoloworld_preds contains no detections.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T20:57:00.352Z"}}, {"name": "yoloworld_eval_id", "ftype": "fiftyone.core.fields.StringField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "yoloworld_eval_id", "description": "ID of the matched gt_coarse_zeroshot detection, if any.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T20:57:00.374Z"}}, {"name": "yoloworld_eval_iou", "ftype": "fiftyone.core.fields.FloatField", "embedded_doc_type": null, "subfield": null, "fields": [], "db_field": "yoloworld_eval_iou", "description": "IoU with the matched gt_coarse_zeroshot detection, if any.", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T20:57:00.396Z"}}], "db_field": "detections", "description": "List of yolov8l-world-torch Detection predictions (empty in practice -- see field-level note).", "info": null, "read_only": false, "created_at": {"$date": "2026-07-17T20:56:44.905Z"}}], "db_field": "yoloworld_preds", "description": "yolov8l-world-torch zero-shot predictions (maize/sugar beet/sunflower) on the same 597-image dry-run pool as zeroshot_preds. VERIFIED FINDING: produced ZERO predictions at all (mAP=0.0000) -- the second of two zero-shot models tested, both confirmed to fail on this dataset's top-down imagery. 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