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Trucks Damage Dataset

This dataset contains images of trucks with various types of damage annotations. The annotations are in COCO format and include detailed segmentation masks for different types of damage.

Dataset Statistics

  • Total Images: 795
  • Annotations per category:
    • scratch: 1125
    • dent: 745
    • broken part: 278
    • missing part: 374
    • crack: 87
    • lamp broken: 6

Dataset Statistics

  • Total Images: 795
  • Annotations per category:
    • scratch: 1125
    • dent: 745
    • broken part: 278
    • missing part: 374
    • crack: 87
    • lamp broken: 6

Dataset Description

  • Number of Images: 795
  • Format: COCO
  • Image Format: JPG
  • Annotation Format: JSON

Damage Categories:

  1. Scratch
  2. Dent
  3. Missing Part
  4. Broken Part
  5. Flat Tire
  6. Crack

Annotation Format

Each annotation includes:

  • Category ID
  • Segmentation polygons
  • Bounding box coordinates [x, y, width, height]
  • Area
  • Additional metadata

Usage

The dataset follows the COCO format and can be used with popular computer vision frameworks like:

  • YOLO
  • Detectron2
  • MMDetection
  • Transformers

License

Please specify the license under which this dataset is released.