200,000+ Car damage images with annotation | Car insurance & inspection | Global coverage with custom annotations

Car Damage Detection Dataset

We collect images of Damaged cars from around the world and create a custom annotations on those images for our customers. Annotations can be customized as per requirement, both Polygon annotation and Bounding box annotations are possible. The dataset consists of images in JPEG and PNG formats.

Volume: More than 200,000+ images

Available Formats: .json, .xml, .csv

Coverage: More than 249 countries

Car Damage Detection Dataset

We collect images of Damaged cars from around the world and create a custom annotations on those images for our customers. Annotations can be customized as per requirement, both Polygon annotation and Bounding box annotations are possible. The collection can also be customized with the desired country of origin, color, model, and Damage types. Customers can order images from a single car from 1 to 8 angles. The dataset consists of images in JPEG and PNG formats. A curated dataset of damaged cars having dents, scratches, bends, cracks, and totaled cars. The dataset has proven to be suitable for training Artificial Intelligence algorithms to detect type damages in a car by analyzing a picture. The model developed with this dataset is highly sought after in the Insurance industry.

Use Cases
  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Facial Recognition
  • Computer Vision
  • Face Dectection Dataset
Categories
  • AI & ML Training Data
  • Annotated Imagery Data
  • Machine Learning (ML) Data

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