DrBimmer/comprehensive-car-damage
Car Front and Rear Damage Detection Dataset Dataset Summary This dataset is designed for training and evaluating machine learning models for car damage detection, specifically focusing on front and rear vehicle damages. It includes high-quality labeled images categorized into six distinct classes: R_Normal: Rear view of undamaged cars R_Crushed: Rear view of cars with crushed damage R_Breakage: Rear view of cars with visible breakage F_Normal: Front view of… See the full description on the dataset page: https://huggingface.co/datasets/DrBimmer/comprehensive-car-damage.
| Author / organization | DrBimmer |
|---|---|
| License (as declared) | mit |
| Downloads | 755 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 27 March 2025 |
| Last updated at source | 27 March 2025 |
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