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.

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Volume

More than 200,000+ images

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Available formats

.json, .xml, .csv

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Coverage: More than 249 countries

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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.

Dataset Features

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Artificial Intelligence (AI)

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Machine Learning (ML)

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Facial Recognition

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Computer Vision

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Face Dectection Dataset

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Categories

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AI & ML Training Data

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Annotated Imagery Data

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Machine Learning (ML) Data

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