9 datasets found
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Federal
Department of Transportation Inventory of Artificial Intelligence Use Cases
Department of Transportation —
This dataset is a list of Department of Transportation (DOT) Artificial Intelligence (AI) use cases. Artificial intelligence (AI) promises to drive the growth of the... -
City
Algorithmic Tools Compliance Report
City of New York —
Under Local Law 35 of 2022 (LL 35), City agencies are required to annually report on their use of algorithmic tools, including descriptions of the tool's use and... -
State
Executive Branch Artificial Intelligence System Inventory
State of Connecticut —
Public Act No. 23-16, Section 1, effective July 1, 2023, directs the Department of Administrative Services to conduct an annual inventory of all systems that employ... -
Federal
Seamless high-resolution transboundary dynamic landcover map of the Sonoran and Mojave Desert ecoregion within Bird Conservation Region 33
Department of the Interior —
These data were compiled for the creation of a continuous, high-resolution transboundary land cover map of the Sonoran and Mojave Desert ecoregion within Bird... -
Federal
Images of two standard crude oils collected using a fluorescent camera device to train and optimize a machine learning model for real-time oil spill concentration assessment collected from November 7, 2023, to July 8, 2024
Department of the Interior —
The data are a set of fluorescent images that were generated to support the development of a machine learning model. The approach combines fluorescence imaging, deep... -
Federal
Map georeferencing challenge training and validation data
Department of the Interior —
Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort.... -
Federal
Map feature extraction challenge training and validation data
Department of the Interior —
Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort.... -
Federal
Two-stage models improve machine learning classifiers in wildlife research: A case study in identifying false positive detections of Ruffed Grouse
Department of the Interior —
Autonomous recording units are increasingly being used to monitor wildlife on large geographic and temporal scales, paired with machine learning (ML) to automate... -
Federal
Training and validation data from the AI for Critical Mineral Assessment Competition (ver. 2.0, July 2025)
Department of the Interior —
Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort....
9 datasets found