fixing images in readme

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