Search
Dataset-first workflow
Browse thousands of public datasets, filter by task, and jump directly into training with the AgML data loader.
AgML Library
Agricultural machine learning, streamlined
AgML delivers a unified way to discover, load, and train on agricultural datasets across tasks and modalities. Start with a dataset, scale to a full pipeline.
Sample imagery
ACHENY_variety_classification
CocoaMFDB_detection
Medjool_date_ripeness_classification
QuinceSet_detection
citrus_fruit_leaf_disease_classification
crop_weed_detection_latvia
fortunella_margarita_growth_detection
maize_weed_detection
merlot_mildew_segmentation
pomegranate_quality_classification
ERWIAM_blight_detection
LSID_bean_segmentation
TealeafAgeQuality_detection
bean_disease_classification_tanzania
fruitseg30_segmentation
grapevine_esca_classification
maize_tomato_weed_classification
oil_palm_fruit_ripeness_classification
onionfoliageset_detection
seasveg_classification_bd
sunflower_detection
fresh_rotten_fruit_classification
grapevine_disease_classification
soybean_damage_classification
tomato_factory_detection
BDMediLeaves_variety_classification
MangoClassify-12_variety_classification
PaddyVarietyBD_variety_classification
date_cluster_detection
grape_variety_classificationACHENY_variety_classificationCocoaMFDB_detectionMedjool_date_ripeness_classificationQuinceSet_detectioncitrus_fruit_leaf_disease_classificationcrop_weed_detection_latviafortunella_margarita_growth_detectionmaize_weed_detectionmerlot_mildew_segmentationpomegranate_quality_classificationERWIAM_blight_detectionLSID_bean_segmentationTealeafAgeQuality_detectionbean_disease_classification_tanzaniafruitseg30_segmentationgrapevine_esca_classificationmaize_tomato_weed_classificationoil_palm_fruit_ripeness_classificationonionfoliageset_detectionseasveg_classification_bdsunflower_detectionfresh_rotten_fruit_classificationgrapevine_disease_classificationsoybean_damage_classificationtomato_factory_detectionBDMediLeaves_variety_classificationMangoClassify-12_variety_classificationPaddyVarietyBD_variety_classificationdate_cluster_detectiongrape_variety_classification0Datasets indexed
0Labeled images
0CV task types
What AgML offers
Train
TensorFlow + PyTorch ready
Export loaders to native TensorFlow or PyTorch pipelines without rewriting your data preprocessing logic.
Coverage
Global coverage
From crop disease to detection and segmentation, AgML catalogs datasets spanning continents, crops, and sensor modalities.
Load any dataset in one line
from agml.data.hf_loader import HuggingFaceDataLoader
loader = HuggingFaceDataLoader("Project-AgML/apple_flower_segmentation")