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js2552 merged 1 commit into from
Sep 14, 2026
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citations #68

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4 changes: 2 additions & 2 deletions static/data/dataset_history.json
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Expand Up @@ -151,8 +151,8 @@
{
"period": "Sep 14",
"date": "2026-09-14",
"datasetCount": 301,
"imageCount": 6542373
"datasetCount": 299,
"imageCount": 6533431
}
]
}
77 changes: 7 additions & 70 deletions static/data/hf_datasets.json
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Expand Up @@ -12155,7 +12155,7 @@
],
"license": "cc-by-4.0",
"documentation": "https://doi.org/10.1016/j.dib.2025.112447",
"citation": "",
"citation": "Alvarado Molina, J. F., Restrepo-Arias, J. F., Velásquez, D., Branch Bedoya, J. W., & Maiza, M. (2025). CocoaMoniliaDataSet [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.17716661",
"zip_size_bytes": 2667926676,
"source": "huggingface",
"hf_link": "https://huggingface.co/datasets/Project-AgML/cocoa_monilia_detection",
Expand Down Expand Up @@ -12193,7 +12193,7 @@
],
"license": "cc-by-4.0",
"documentation": "https://doi.org/10.1016/j.dib.2025.111721",
"citation": "",
"citation": "Naik, Praveen; Rudra, Bhawana (2024), “X-ray Image dataset of Arecanut”, Mendeley Data, V1, doi: 10.17632/sk5n6xdcmm.1",
"zip_size_bytes": 21484506,
"source": "huggingface",
"hf_link": "https://huggingface.co/datasets/Project-AgML/arecanut_xray_grade_detection",
Expand Down Expand Up @@ -12223,41 +12223,12 @@
"classes": [],
"license": "cc-by-4.0",
"documentation": "https://doi.org/10.1016/j.dib.2025.111419",
"citation": "",
"citation": "Salas-Cáceres, J., Lorenzo-Navarro, J., Castrillón-Santana, M., Salas-Pascual, M., & Balia, R. (2024). Vegetation mapping dataset of Gran Canaria, Canary Islands, Spain. [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.14215453",
"zip_size_bytes": 1663136992,
"source": "huggingface",
"hf_link": "https://huggingface.co/datasets/Project-AgML/gran_canaria_vegetation_segmentation",
"examples_image_url": "/img/agml/sample_images/gran_canaria_vegetation_segmentation_sample.webp"
},
{
"name": "Sentinel_SAR_NDVI",
"machine_learning_task": "unlabeled",
"agricultural_task": "",
"location": [],
"lat_lon": [],
"country": "",
"environment": "field",
"real_or_synthetic": "real",
"crop_types": [],
"sensor_modality": "rgb",
"imaging_equipment": [
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"Sentinel-2 (optical), satellite"
],
"collection_period": "January 1, 2017, to March 1, 2024",
"platform": "satellite",
"input_data_format": "parquet",
"annotation_format": "none",
"num_images": 8800,
"classes": [],
"license": "cc-by-4.0",
"documentation": "https://doi.org/10.1016/j.dib.2024.111160",
"citation": "",
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"source": "huggingface",
"hf_link": "https://huggingface.co/datasets/Project-AgML/Sentinel_SAR_NDVI",
"examples_image_url": "/img/agml/sample_images/Sentinel_SAR_NDVI_sample.webp"
},
{
"name": "Wheat_Coccinellid_detection",
"machine_learning_task": "object_detection",
Expand Down Expand Up @@ -12292,46 +12263,12 @@
],
"license": "cc-by-4.0",
"documentation": "https://doi.org/10.1016/j.dib.2024.110585",
"citation": "",
"citation": "Grijalva, Ivan; Clark, Nicholas ; Hamilton, Emma ; Orpin, Carson; Perez, Carmen ; Schaefer, James; Vogts, Kaylynn ; McCornack, Brian (2024), “Wheat_Coccinellid”, Mendeley Data, V1, doi: 10.17632/j9735xjspw.1",
"zip_size_bytes": 171037916,
"source": "huggingface",
"hf_link": "https://huggingface.co/datasets/Project-AgML/Wheat_Coccinellid_detection",
"examples_image_url": "/img/agml/sample_images/Wheat_Coccinellid_detection_sample.webp"
},
{
"name": "alphonos_mango_phenotyping",
"machine_learning_task": "unlabeled",
"agricultural_task": "",
"location": [
"Yelachahalli, Yelawala, Mysuru"
],
"lat_lon": [
"12.379, 76.524"
],
"country": "India",
"environment": "lab",
"real_or_synthetic": "real",
"crop_types": [
"mango"
],
"sensor_modality": "rgb",
"imaging_equipment": [
"Logitech C270 HD Webcam, 720p/30 fps, fixed focus, 60-degree diagonal field of vision"
],
"collection_period": "May/June 2022",
"platform": "fixed",
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"num_images": 142,
"classes": [],
"license": "cc-by-4.0",
"documentation": "https://doi.org/10.1016/j.dib.2023.109778",
"citation": "",
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"source": "huggingface",
"hf_link": "https://huggingface.co/datasets/Project-AgML/alphonos_mango_phenotyping",
"examples_image_url": "/img/agml/sample_images/alphonos_mango_phenotyping_sample.webp"
},
{
"name": "Cassava_whitefly_detection",
"machine_learning_task": "object_detection",
Expand Down Expand Up @@ -12362,7 +12299,7 @@
],
"license": "cc-by-4.0",
"documentation": "https://doi.org/10.1016/j.dib.2022.107911",
"citation": "",
"citation": "Tusubira, Jeremy (2022), “Cassava Whitefly Dataset”, Mendeley Data, V3, doi: 10.17632/5g38399z9p.3",
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"source": "huggingface",
"hf_link": "https://huggingface.co/datasets/Project-AgML/Cassava_whitefly_detection",
Expand Down Expand Up @@ -12391,7 +12328,7 @@
"classes": [],
"license": "cc-by-4.0",
"documentation": "https://doi.org/10.1016/j.dib.2024.111160",
"citation": "",
"citation": "Diaz, Jean; Vasquez, Ruben; Garavito-Gonzalez, Andrés F.; Vásquez-Cano, Esteban (2024), “Dataset of Sentinel-1 SAR and Sentinel-2 NDVI Imagery”, Mendeley Data, V3, doi: 10.17632/xjcr5k4c9t.3",
"zip_size_bytes": 4543771770,
"source": "huggingface",
"hf_link": "https://huggingface.co/datasets/Project-AgML/sentinel_SAR_NDVI",
Expand Down Expand Up @@ -12429,7 +12366,7 @@
],
"license": "cc-by-4.0",
"documentation": "https://doi.org/10.1016/j.dib.2023.109516",
"citation": "",
"citation": "Siddique, Md Moradul; Islam, Torikul; Tusher, Yeasir Arefin ; Md. Galib, Syed (2023), “PaddyNet: An Organized Dataset of Paddy Leaves for a Smart Fertilizer Recommendation System ”, Mendeley Data, V2, doi: 10.17632/ksz57tk5vc.2",
"zip_size_bytes": 75760718,
"source": "huggingface",
"hf_link": "https://huggingface.co/datasets/Project-AgML/PaddyNet_LCC_classification",
Expand Down
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