| almond_bloom_2023 |
object_detection |
100 |
|
| almond_harvest_2021 |
object_detection |
50 |
|
| apple_detection_drone_brazil |
object_detection |
689 |
https://github.com/thsant/add256/tree/zenodo-1.0 |
| apple_detection_spain |
object_detection |
967 |
https://www.grap.udl.cat/en/publications/KFuji_RGBDS_database.html |
| apple_detection_usa |
object_detection |
2290 |
https://hdl.handle.net/2376/17721 |
| apple_flower_segmentation |
semantic_segmentation |
148 |
https://data.nal.usda.gov/dataset/data-multi-species-fruit-flower-detection-using-refined-semantic-segmentation-network |
| apple_segmentation_minnesota |
semantic_segmentation |
670 |
https://rsn.umn.edu/projects/orchard-monitoring/minneapple |
| arabica_coffee_leaf_disease_classification |
image_classification |
58549 |
https://www.sciencedirect.com/science/article/pii/S2352340921004261?via%3Dihub#sec0001 |
| autonomous_greenhouse_regression |
image_regression |
389 |
https://data.4tu.nl/articles/dataset/3rd_Autonomous_Greenhouse_Challenge_Online_Challenge_Lettuce_Images/15023088/1 |
| banana_leaf_disease_classification |
image_classification |
1288 |
https://www.researchgate.net/publication/380900090_Sigatoka_and_Xanthomonas_Banana_Leaf_Disease_Detection_Via_Transfer_Learning |
| bean_disease_uganda |
image_classification |
1295 |
https://github.com/AI-Lab-Makerere/ibean/ |
| bean_synthetic_earlygrowth_aerial |
semantic_segmentation |
2500 |
https://github.com/Project-AgML/AgML/blob/main/docs/datasets/bean_synthetic_earlygrowth_aerial.md |
| betel_leaf_disease_classification |
image_classification |
3589 |
https://www.semanticscholar.org/paper/Betel-Leaf-Diseases-Classification-using-Machine-A-David-Mukunthan/38208c9d2306444e3b9f8593715a46e2dcf26f44#paper-topics |
| blackgram_plant_leaf_disease_classification |
image_classification |
1007 |
https://www.sciencedirect.com/science/article/pii/S2352340922009295 |
| carrot_weeds_germany |
semantic_segmentation |
60 |
https://github.com/cwfid/dataset |
| chilli_leaf_classification |
image_classification |
10974 |
https://www.researchgate.net/publication/380611658_Dataset_of_Chilli_and_Onion_Plant_Leaf_Images_for_Classification_and_Detection |
| coconut_tree_disease_classification |
image_classification |
5798 |
https://www.sciencedirect.com/science/article/pii/S2352340923007692#sec0003 |
| corn_maize_leaf_disease |
image_classification |
4188 |
https://www.kaggle.com/datasets/smaranjitghose/corn-or-maize-leaf-disease-dataset/data |
| crop_weeds_greece |
image_classification |
508 |
https://github.com/AUAgroup/early-crop-weed |
| cucumber_disease_classification |
image_classification |
7689 |
https://www.sciencedirect.com/science/article/pii/S2352340923004389 |
| embrapa_wgisd_grape_detection |
object_detection |
239 |
https://github.com/thsant/wgisd/tree/master |
| fruit_detection_worldwide |
object_detection |
565 |
https://drive.google.com/drive/folders/1CmsZb1caggLRN7ANfika8WuPiywo4mBb |
| gemini_flower_detection_2022 |
object_detection |
134 |
http://gemini-breeding.github.io/ |
| gemini_leaf_detection_2022 |
object_detection |
25 |
http://gemini-breeding.github.io/ |
| gemini_plant_detection_2022 |
object_detection |
402 |
http://gemini-breeding.github.io/ |
| gemini_pod_detection_2022 |
object_detection |
98 |
http://gemini-breeding.github.io/ |
| ghai_broccoli_detection |
object_detection |
500 |
https://github.com/AxisAg/GHAIDatasets/blob/main/datasets/broccoli.md |
| ghai_green_cabbage_detection |
object_detection |
500 |
https://github.com/AxisAg/GHAIDatasets/blob/main/datasets/green_cabbage.md |
| ghai_iceberg_lettuce_detection |
object_detection |
500 |
https://github.com/AxisAg/GHAIDatasets/blob/main/datasets/iceberg.md |
| ghai_romaine_detection |
object_detection |
500 |
https://github.com/AxisAg/GHAIDatasets/blob/main/datasets/romaine.md |
| ghai_strawberry_fruit_detection |
object_detection |
500 |
https://github.com/AxisAg/GHAIDatasets/blob/main/datasets/strawberry.md |
| grape_detection_californiaday |
object_detection |
126 |
|
| grape_detection_californianight |
object_detection |
150 |
|
| grape_detection_syntheticday |
object_detection |
448 |
N/A |
| growliflower_cauliflower_segmentation |
semantic_segmentation |
1542 |
https://phenoroam.phenorob.de/geonetwork/srv/eng/catalog.search#/metadata/cb328232-31f5-4b84-a929-8e1ee551d66a |
| guava_disease_pakistan |
image_classification |
306 |
https://data.mendeley.com/datasets/s8x6jn5cvr/1 |
| java_plum_leaf_disease_classification |
image_classification |
2400 |
https://www.sciencedirect.com/science/article/pii/S2772375524001059#sec0003 |
| leaf_counting_denmark |
image_classification |
9372 |
https://vision.eng.au.dk/leaf-counting-dataset/ |
| mango_detection_australia |
object_detection |
1242 |
https://researchdata.edu.au/mangoyolo-set/1697505 |
| onion_leaf_classification |
image_classification |
4502 |
https://www.researchgate.net/publication/380611658_Dataset_of_Chilli_and_Onion_Plant_Leaf_Images_for_Classification_and_Detection |
| orange_leaf_disease_classification |
image_classification |
5813 |
https://www.sciencedirect.com/science/article/pii/S2352340924006802#sec0004 |
| paddy_disease_classification |
image_classification |
10407 |
https://www.kaggle.com/competitions/paddy-disease-classification/data |
| papaya_leaf_disease_classification |
image_classification |
2159 |
https://www.sciencedirect.com/science/article/pii/S2352340924008734 |
| peachpear_flower_segmentation |
semantic_segmentation |
42 |
https://data.nal.usda.gov/dataset/data-multi-species-fruit-flower-detection-using-refined-semantic-segmentation-network |
| plant_doc_classification |
image_classification |
2598 |
https://github.com/pratikkayal/PlantDoc-Dataset |
| plant_doc_detection |
object_detection |
2346 |
https://github.com/pratikkayal/PlantDoc-Object-Detection-Dataset |
| plant_seedlings_aarhus |
image_classification |
5539 |
https://vision.eng.au.dk/plant-seedlings-dataset/ |
| plant_village_classification |
image_classification |
55448 |
https://github.com/spMohanty/PlantVillage-Dataset |
| rangeland_weeds_australia |
image_classification |
17509 |
https://github.com/AlexOlsen/DeepWeeds |
| red_grapes_and_leaves_segmentation |
semantic_segmentation |
258 |
https://link.springer.com/chapter/10.1007/978-3-030-48791-1_22 |
| rice_leaf_disease_classification |
image_classification |
3829 |
https://www.kaggle.com/datasets/anshulm257/rice-disease-dataset/data |
| rice_seedling_segmentation |
semantic_segmentation |
224 |
https://github.com/kabbas570/CED-Net-Crops-and-Weeds-Segmentation-for-Smart-Farming-Using-a-Small-Cascaded-Encoder-Decoder-Archi |
| riseholme_strawberry_classification_2021 |
image_classification |
3520 |
https://github.com/ctyeong/Riseholme-2021 |
| soybean_weed_uav_brazil |
image_classification |
15336 |
https://data.mendeley.com/datasets/3fmjm7ncc6/2 |
| strawberry_detection_2022 |
object_detection |
175 |
https://universe.roboflow.com/strawberrydet/strawberry_2022/dataset/4 |
| strawberry_detection_2023 |
object_detection |
204 |
https://universe.roboflow.com/strawberrydet/strawberry_2023/3 |
| sugarbeet_weed_segmentation |
semantic_segmentation |
125 |
https://github.com/inkyusa/weedNet |
| sugarcane_damage_usa |
image_classification |
153 |
https://github.com/The77Lab/SugarcaneBilletsDataset |
| sunflower_disease_classification |
image_classification |
2358 |
https://www.sciencedirect.com/science/article/pii/S2352340922002542 |
| tea_leaf_disease_classification |
image_classification |
5867 |
https://www.kaggle.com/datasets/saikatdatta1994/tea-leaf-disease |
| tomato_leaf_disease |
image_classification |
11000 |
https://www.kaggle.com/datasets/kaustubhb999/tomatoleaf?resource=download |
| tomato_ripeness_detection |
object_detection |
804 |
https://www.kaggle.com/datasets/nexuswho/laboro-tomato |
| vegann_multicrop_presence_segmentation |
semantic_segmentation |
3775 |
https://zenodo.org/records/7636408 |
| vine_virus_photo_dataset |
image_classification |
3866 |
|
| wheat_head_counting |
object_detection |
6512 |
https://zenodo.org/record/5092309 |
| white_grapes_and_leaves_segmentation |
semantic_segmentation |
273 |
https://link.springer.com/chapter/10.1007/978-3-030-48791-1_22 |