Datasets:
image imagewidth (px) 1.08k 4.16k | mask imagewidth (px) 1.08k 4.16k | objects dict | crop stringclasses 16
values | annotation_set stringclasses 16
values | file_name stringlengths 44 73 | coco_json stringlengths 1.79k 878k |
|---|---|---|---|---|---|---|
{
"bbox": [
[
323,
0,
2123.9846,
2056.0904
],
[
1186,
677,
226.0959,
137.9051
],
[
1388,
575,
43.1409,
67.9089
],
[
1121,
362,
181.5303,
238.399
],
[
1042,
361,
114.941... | banana | qed_banana_semantic_annotation | qed_banana_semantic_annotation/0207a612-aec4-4052-884e-154a93264e73.jpg | {
"info": {
"year": "2026",
"version": "dataset",
"description": "Exported from roboflow.com",
"contributor": "",
"url": "https://app.roboflow.com/datasets/cgiar-workspace/dataset",
"date_created": "2026-02-20T20:30:14+00:00",
"split": "train"
},
"lice... | ||
{
"bbox": [
[
422,
165,
2024.867,
2599.915
],
[
2397,
2260,
50.427,
95.176
],
[
2229,
2380,
106.049,
74.713
],
[
2408,
2491,
39.047,
96.052
],
[
2314,
2494,
87.477,
... | banana | qed_banana_semantic_annotation | qed_banana_semantic_annotation/05965fd9-4140-4ddb-934c-1eb1bd70bdc6.jpg | {
"info": {
"year": "2026",
"version": "dataset",
"description": "Exported from roboflow.com",
"contributor": "",
"url": "https://app.roboflow.com/datasets/cgiar-workspace/dataset",
"date_created": "2026-02-20T20:30:14+00:00",
"split": "train"
},
"lice... | ||
{"bbox":[[0.0,0.0,2447.0,3262.7362],[852.0,0.0,25.7886,83.6558],[659.0,0.0,13.2088,93.0906],[160.0,5(...TRUNCATED) | banana | qed_banana_semantic_annotation | qed_banana_semantic_annotation/09a5b574-910d-49c7-bdf8-7d078188f777.jpg | "{\n \"info\": {\n \"year\": \"2026\",\n \"version\": \"dataset\",\n \"descr(...TRUNCATED) | ||
{"bbox":[[660.0,1131.0,1574.2678,1421.4111],[875.0,1597.0,111.9322,78.8614],[835.0,0.0,598.95,307.68(...TRUNCATED) | banana | qed_banana_semantic_annotation | qed_banana_semantic_annotation/122f7ee2-3abb-4052-a978-d2229ede4631.jpg | "{\n \"info\": {\n \"year\": \"2026\",\n \"version\": \"dataset\",\n \"descr(...TRUNCATED) | ||
{"bbox":[[746.0,0.0,1700.579,1926.019],[1644.0,1020.0,63.731,43.456],[1687.0,777.0,96.832,86.913],[1(...TRUNCATED) | banana | qed_banana_semantic_annotation | qed_banana_semantic_annotation/17401bb7-3ecb-41b4-b21e-10d704346a8c.jpg | "{\n \"info\": {\n \"year\": \"2026\",\n \"version\": \"dataset\",\n \"descr(...TRUNCATED) | ||
{"bbox":[[0.0,0.0,2447.0,2060.42],[84.0,2860.0,113.658,83.779],[59.0,2965.0,52.133,56.94],[491.0,310(...TRUNCATED) | banana | qed_banana_semantic_annotation | qed_banana_semantic_annotation/20229e8c-c18e-41a6-8322-37dce240b938.jpg | "{\n \"info\": {\n \"year\": \"2026\",\n \"version\": \"dataset\",\n \"descr(...TRUNCATED) | ||
{"bbox":[[0.0,0.0,2447.0,3262.937],[26.0,565.0,135.328,129.239],[389.0,138.0,130.3,79.009],[1582.0,1(...TRUNCATED) | banana | qed_banana_semantic_annotation | qed_banana_semantic_annotation/24b4a00f-1523-48d4-93d9-50447ba5d2f1.jpg | "{\n \"info\": {\n \"year\": \"2026\",\n \"version\": \"dataset\",\n \"descr(...TRUNCATED) | ||
{"bbox":[[0.0,0.0,2447.0,2289.854],[1014.0,1997.0,58.332,93.182],[1315.0,1883.0,74.1,63.107],[1368.0(...TRUNCATED) | banana | qed_banana_semantic_annotation | qed_banana_semantic_annotation/27af8b18-fdde-4e64-b5b3-4fc74c6d06bf.jpg | "{\n \"info\": {\n \"year\": \"2026\",\n \"version\": \"dataset\",\n \"descr(...TRUNCATED) | ||
{"bbox":[[0.0,2332.0,166.875,278.378],[165.0,2389.0,91.671,39.168],[401.0,2110.0,156.693,156.104],[5(...TRUNCATED) | banana | qed_banana_semantic_annotation | qed_banana_semantic_annotation/27bd7127-32d7-46de-84b1-476ee1a9a893.jpg | "{\n \"info\": {\n \"year\": \"2026\",\n \"version\": \"dataset\",\n \"descr(...TRUNCATED) | ||
{"bbox":[[0.0,0.0,2213.1257,2357.4976],[238.0,2224.0,592.0256,795.7891],[646.0,3199.0,49.0023,47.594(...TRUNCATED) | banana | qed_banana_semantic_annotation | qed_banana_semantic_annotation/32d6ce8e-e1fa-4e85-927a-071bb588d483.jpg | "{\n \"info\": {\n \"year\": \"2026\",\n \"version\": \"dataset\",\n \"descr(...TRUNCATED) |
End of preview. Expand in Data Studio
Image Safari Crop Weed Segmentation
Crop and weed segmentation of field photographs from the Image Safari project, a large crop image collection from sites across sub-Saharan Africa. QED annotators outlined every crop plant and weed in 2,114 smartphone images of 16 crops (100-200 images per crop) in Roboflow, labelling each polygon as crop, broadleaf weed or narrowleaf weed (plus a handful of fruit/grain outlines). Each row has the image, a semantic mask (0 = background, then the class ids), per-object bounding boxes and classes, the crop, the Roboflow annotation batch, and the original per-image COCO annotation file verbatim in coco_json (instance polygons, original category names). Images that the source stored with an EXIF rotation are written upright so they line up with the annotations; all others keep their original bytes. The dataset contains 2,114 images with 50,688 bounding box annotations across 5 categories.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{Mutuvi_2026,
title = {Artemis and Image Safari - crop imagery datasets spanning globally critical crop species},
author = {Mutuvi, Stephen and Guerena, David and Zych, Marcin and Henday, Shekinah and Girma, Ellena and Mungubariki, Tumaini and Agesa, Beverly and Zochowski, Marek and Ciolek, Daniel and Lazowik, Michael and Chen, Jiehua and Goeke, Leah and Omwandho, Justine and del Palma, Grace and Malabi, Jackson and Phomebeya, Sithembinkosi and Sanena, Maria and Marcos, Juliana T. C. and Ghandi, Harish and Nas, Mark and Rathore, Abhishek and Mendes, Thiago and Yadav, Shailesh and Adjah, Kossi Lorimpo and Woltering, Lennart and Lekasio, Elice and Mushi, Bryton and Abraham, Leah and Katunzi, Gaudensia and Remy, Sekou L. and Siyavora, Tavonga and Selvaraj, Michael and Casas, Jorge and Boukar, Ousmane and Ongom, Patrick and Nakato, Gloria Valentine and Mwanje, Gerald and Agre, Paterne and Laporte, Marie-Angélique and Asefa, Teshale and Odama, Roy and Mukankusi, Clare and Wu, William},
journal = {agriRxiv},
publisher = {CABI Publishing},
year = {2026},
month = sep,
doi = {10.31220/agriRxiv.2026.00491},
url = {https://doi.org/10.31220/agriRxiv.2026.00491}
}
This dataset was reformatted from its original format to match HuggingFace standards.
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