Found 9 datasets matching filters. (clear all filters)
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Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort. To address this limitation,...
Search relevance: 1.00 | Views last month: 19 | Catalog Last Checked: May 05, 2026 at 10:08 PM -
This image dataset consists of symptomatic and non-symptomatic American beech (Fagus grandifolia) leaves collected for the purpose of training a convolutional neural network to distinguish between...
Search relevance: 1.00 | Views last month: 16 | Catalog Last Checked: May 05, 2026 at 11:40 PM -
Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort. To address this limitation,...
Search relevance: 1.00 | Views last month: 12 | Catalog Last Checked: May 05, 2026 at 08:00 PM -
This data set provides the raw images and annotations from a postharvest berry imaging platform that was used to train an instance segmentation model. Downstream image processing of segmented...
Search relevance: 1.00 | Views last month: 6 | Catalog Last Checked: May 05, 2026 at 11:40 PM -
This data set provides the raw images and bounding box annotations from a postharvest berry imaging platform that was used to train an object detection model. Annotations are of fruit belonging to...
Search relevance: 1.00 | Views last month: 6 | Catalog Last Checked: May 05, 2026 at 11:40 PM -
This dataset consists of the synthetic electron backscatter diffraction (EBSD) maps generated for the paper, titled "Hybrid Algorithm for Filling in Missing Data in Electron Backscatter...
Search relevance: 1.00 | Views last month: 3 | Catalog Last Checked: August 02, 2025 at 03:54 PM -
These data were compiled for the use of training natural feature machine learning (GeoAI) detection and delineation. The natural feature classes include the Geographic Names Information System...
Search relevance: 1.00 | Views last month: 3 | Catalog Last Checked: May 05, 2026 at 07:26 PM -
Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission...
Search relevance: 1.00 | Views last month: 0 | Catalog Last Checked: March 23, 2026 at 09:41 PM -
Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort. To address this limitation,...
Search relevance: 1.00 | Views last month: 0 | Catalog Last Checked: May 05, 2026 at 09:48 PM
