Agriculture: Difference between revisions
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* '''Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis:''' A dataset composed of 94,986 aerial images from 3,432 farmlands across the United States. The images contains RGB channels and Near-infrared at a resolution of 10 cm per pixel. [https://www.agriculture-vision.com/dataset Dataset], and [https://arxiv.org/abs/2001.01306 paper] describing the dataset. |
* '''Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis:''' A dataset composed of 94,986 aerial images from 3,432 farmlands across the United States. The images contains RGB channels and Near-infrared at a resolution of 10 cm per pixel. [https://www.agriculture-vision.com/dataset Dataset], and [https://arxiv.org/abs/2001.01306 paper] describing the dataset. |
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* LandCoverNet: A multispectral satellite imagery dataset acquired from Sentinel-2 and can be used for land cover classification. The dataset was created by the Radiant Earth Foundation. [http://registry.mlhub.earth/10.34911/rdnt.d2ce8i/ Dataset] and [https://radiant-mlhub.s3-us-west-2.amazonaws.com/landcovernet/Documentation.pdf documentation]. |
* LandCoverNet: A multispectral satellite imagery dataset acquired from Sentinel-2 and can be used for land cover classification. The dataset was created by the Radiant Earth Foundation. [http://registry.mlhub.earth/10.34911/rdnt.d2ce8i/ Dataset] and [https://radiant-mlhub.s3-us-west-2.amazonaws.com/landcovernet/Documentation.pdf documentation]. |
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* '''CropHarvest''': The [https://openreview.net/forum?id=JtjzUXPEaCu CropHarvest dataset], compiled by researchers affiliated with NASA Harvest, provides a unified global dataset, API, and benchmarks for ML methods in crop-type mapping. |
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=== Kaggle datasets === |
=== Kaggle datasets === |
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