nasa-ibm-ai4science/Sombench-WAC-Crater-Detection download history

nasa-ibm-ai4science/Sombench-WAC-Crater-Detection is an object detection dataset on the Hugging Face Hub. In the last 30 days it was downloaded 1,125 times (608 in the last 7 days), and 1,125 times in total. It ranks #17,678 among datasets by monthly downloads.

SomBench Benchmark: Robbins Crater Detection, WAC Science theme: Impact processes Task: Object detection Dataset Summary An impact-crater object-detection benchmark built from the Robbins (2019) global lunar crater catalog, a manually compiled, near-complete census of l

Models trained on Sombench-WAC-Crater-Detection

1 models list it as training data.

Open nasa-ibm-ai4science/Sombench-WAC-Crater-Detection on Hugging Face

Sister project: Paper Pulse, the upvote history of every Hugging Face Daily Paper.