projectsidewalk/rampnet-crop-model-dataset-round2
RampNet is a two-stage pipeline that addresses the scarcity of curb ramp detection datasets by using government location data to automatically generate over 210,000 annotated Google Street View panoramas. This new dataset is then used to train a state-of-the-art curb ramp detection model that significantly outperforms previous efforts. In this repo, we provide "the tiny set of manually labeled crops" that we refer to in both RampNet's GitHub repository and the paper. Renamed 2026-08-05: this… See the full description on the dataset page: https://huggingface.co/datasets/projectsidewalk/rampnet-
| Author / organization | projectsidewalk |
|---|---|
| License (as declared) | mit |
| Downloads | 604 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 15 July 2025 |
| Last updated at source | 5 August 2026 |
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