diff --git a/README.md b/README.md index fdf9a312..c744daeb 100644 --- a/README.md +++ b/README.md @@ -128,83 +128,8 @@ AgML contains a wide variety of public datasets from various locations across th ![AgML Dataset World Map](/docs/assets/agml_dataset_world_map.png) -The following is a comprehensive list of all datasets available in AgML. For more information, -you can use `agml.data.public_data_sources(...)` with various filters to filter datasets according -to your desired specification. - - -| Dataset | Task | Number of Images | -| :--- | ---: | ---: | -[bean_disease_uganda](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/bean_disease_uganda.md) | Image Classification | 1295 | -[carrot_weeds_germany](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/carrot_weeds_germany.md) | Semantic Segmentation | 60 | -[plant_seedlings_aarhus](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/plant_seedlings_aarhus.md) | Image Classification | 5539 | -[soybean_weed_uav_brazil](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/soybean_weed_uav_brazil.md) | Image Classification | 15336 | -[sugarcane_damage_usa](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/sugarcane_damage_usa.md) | Image Classification | 153 | -[crop_weeds_greece](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/crop_weeds_greece.md) | Image Classification | 508 | -[sugarbeet_weed_segmentation](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/sugarbeet_weed_segmentation.md) | Semantic Segmentation | 1931 | -[rangeland_weeds_australia](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/rangeland_weeds_australia.md) | Image Classification | 17509 | -[fruit_detection_worldwide](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/fruit_detection_worldwide.md) | Object Detection | 565 | -[leaf_counting_denmark](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/leaf_counting_denmark.md) | Image Classification | 9372 | -[apple_detection_usa](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/apple_detection_usa.md) | Object Detection | 2290 | -[mango_detection_australia](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/mango_detection_australia.md) | Object Detection | 1730 | -[apple_flower_segmentation](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/apple_flower_segmentation.md) | Semantic Segmentation | 148 | -[apple_segmentation_minnesota](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/apple_segmentation_minnesota.md) | Semantic Segmentation | 670 | -[rice_seedling_segmentation](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/rice_seedling_segmentation.md) | Semantic Segmentation | 224 | -[plant_village_classification](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/plant_village_classification.md) | Image Classification | 55448 | -[autonomous_greenhouse_regression](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/autonomous_greenhouse_regression.md) | Image Regression | 389 | -[grape_detection_syntheticday](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/grape_detection_syntheticday.md) | Object Detection | 448 | -[grape_detection_californiaday](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/grape_detection_californiaday.md) | Object Detection | 126 | -[grape_detection_californianight](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/grape_detection_californianight.md) | Object Detection | 150 | -[guava_disease_pakistan](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/guava_disease_pakistan.md) | Image Classification | 306 | -[apple_detection_spain](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/apple_detection_spain.md) | Object Detection | 967 | -[apple_detection_drone_brazil](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/apple_detection_drone_brazil.md) | Object Detection | 689 | -[plant_doc_classification](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/plant_doc_classification.md) | Image Classification | 2598 | -[plant_doc_detection](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/plant_doc_detection.md) | Object Detection | 2598 | -[wheat_head_counting](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/wheat_head_counting.md) | Object Detection | 6512 | -[peachpear_flower_segmentation](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/peachpear_flower_segmentation.md) | Semantic Segmentation | 42 | -[red_grapes_and_leaves_segmentation](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/red_grapes_and_leaves_segmentation.md) | Semantic Segmentation | 258 | -[white_grapes_and_leaves_segmentation](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/white_grapes_and_leaves_segmentation.md) | Semantic Segmentation | 273 | -[ghai_romaine_detection](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/ghai_romaine_detection.md) | Object Detection | 500 | -[ghai_green_cabbage_detection](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/ghai_green_cabbage_detection.md) | Object Detection | 500 | -[ghai_iceberg_lettuce_detection](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/ghai_iceberg_lettuce_detection.md) | Object Detection | 500 | -[riseholme_strawberry_classification_2021](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/riseholme_strawberry_classification_2021.md) | Image Classification | 3520 | -[ghai_broccoli_detection](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/ghai_broccoli_detection.md) | Object Detection | 500 | -[bean_synthetic_earlygrowth_aerial](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/bean_synthetic_earlygrowth_aerial.md) | Semantic Segmentation | 2500 | -[ghai_strawberry_fruit_detection](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/ghai_strawberry_fruit_detection.md) | Object Detection | 500 | -[vegann_multicrop_presence_segmentation](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/vegann_multicrop_presence_segmentation.md) | Semantic Segmentation | 3775 | -[corn_maize_leaf_disease](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/corn_maize_leaf_disease.md) | Image Classification | 4188 | -[tomato_leaf_disease](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/tomato_leaf_disease.md) | Image Classification | 11000 | -[vine_virus_photo_dataset](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/vine_virus_photo_dataset.md) | Image Classification | 3866 | -[tomato_ripeness_detection](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/tomato_ripeness_detection.md) | Object Detection | 804 | -[embrapa_wgisd_grape_detection](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/embrapa_wgisd_grape_detection.md) | Object Detection | 239 | -[growliflower_cauliflower_segmentation](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/growliflower_cauliflower_segmentation.md) | Semantic Segmentation | 1542 | -[strawberry_detection_2023](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/strawberry_detection_2023.md) | Object Detection | 204 | -[strawberry_detection_2022](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/strawberry_detection_2022.md) | Object Detection | 175 | -[almond_harvest_2021](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/almond_harvest_2021.md) | Object Detection | 50 | -[almond_bloom_2023](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/almond_bloom_2023.md) | Object Detection | 100 | -[gemini_flower_detection_2022](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/gemini_flower_detection_2022.md) | Object Detection | 134 | -[gemini_leaf_detection_2022](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/gemini_leaf_detection_2022.md) | Object Detection | 25 | -[gemini_pod_detection_2022](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/gemini_pod_detection_2022.md) | Object Detection | 98 | -[gemini_plant_detection_2022](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/gemini_plant_detection_2022.md) | Object Detection | 402 | -[paddy_disease_classification](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/paddy_disease_classification.md) | Image Classification | 10407 | -[onion_leaf_classification](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/onion_leaf_classification.md) | Image Classification | 4502 | -[chilli_leaf_classification](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/chilli_leaf_classification.md) | Image Classification | 10974 | -[orange_leaf_disease_classification](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/orange_leaf_disease_classification.md) | Image Classification | 5813 | -[papaya_leaf_disease_classification](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/papaya_leaf_disease_classification.md) | Image Classification | 2159 | -[blackgram_plant_leaf_disease_classification](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/blackgram_plant_leaf_disease_classification.md) | Image Classification | 1007 | -[arabica_coffee_leaf_disease_classification](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/arabica_coffee_leaf_disease_classification.md) | Image Classification | 58549 | -[banana_leaf_disease_classification](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/banana_leaf_disease_classification.md) | Image Classification | 1288 | -[coconut_tree_disease_classification](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/coconut_tree_disease_classification.md) | Image Classification | 5798 | -[rice_leaf_disease_classification](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/rice_leaf_disease_classification.md) | Image Classification | 3829 | -[tea_leaf_disease_classification](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/tea_leaf_disease_classification.md) | Image Classification | 5867 | -[betel_leaf_disease_classification](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/betel_leaf_disease_classification.md) | Image Classification | 3589 | -[java_plum_leaf_disease_classification](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/java_plum_leaf_disease_classification.md) | Image Classification | 2400 | -[sunflower_disease_classification](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/sunflower_disease_classification.md) | Image Classification | 2358 | -[cucumber_disease_classification](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/cucumber_disease_classification.md) | Image Classification | 7689 | -[iNatAg](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/iNatAg.md) | Image Classification | 4720903 | -[iNatAg-mini](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/iNatAg-mini.md) | Image Classification | 560844 | -[soybean_insect_classification](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/soybean_insect_classification.md) | Image Classification | 6410 | -[mango_leaf_disease_classification](https://github.com/Project-AgML/AgML/blob/main/docs/datasets/mango_leaf_disease_classification.md) | Image Classification | 4000 | +To browse existing AgML datasets, please visit https://project-agml.github.io/datasets, where you can search the datasets that we have collected by a variet of fields. + ## iNatAg and iNatAg-mini diff --git a/docs/assets/agml-framework.png 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