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Car Image Dataset

This repository contains an expanded dataset of 10,765 car images divided into standard splits (training, validation, testing), additional training data, and a RAW sensor/ISP sub-dataset with object detection annotations.

  • Total Images: 10,765
  • Dataset Structure:
    • train/: 4,272 images total:
      • 920 flat, unstructured car images (directly in the root)
      • 3,352 structured images divided into 7 brand class folders:
        • Audi/: 814 images
        • Hyundai Creta/: 271 images
        • Mahindra Scorpio/: 316 images
        • Rolls Royce/: 311 images
        • Swift/: 424 images
        • Tata Safari/: 441 images
        • Toyota Innova/: 775 images
    • train_additional/: 5,000 flat, unstructured car images (extracted from archive 4, split into two chunks to avoid API timeouts):
      • part_1/: 2,500 images
      • part_2/: 2,500 images
    • validation/: 230 flat, unstructured car images
    • test/: 813 structured images divided into 7 brand class folders:
      • Audi/: 199 images
      • Hyundai Creta/: 67 images
      • Mahindra Scorpio/: 75 images
      • Rolls Royce/: 74 images
      • Swift/: 102 images
      • Tata Safari/: 106 images
      • Toyota Innova/: 190 images
    • raw_dataset/: 450 images total representing 225 unique car scenes under raw processing conditions:
      • isp_processed/: 225 JPEG images processed using standard Image Signal Processor pipelines.
      • raw_converted/: 225 lossless PNG images converted from the raw sensor format (scaled [0, 255] and edge-pixels removed).
      • annotations.xls: Bounding box annotations for the 225 scenes in the format [top_left_x, top_left_y, box_height, box_width].

Brand Classes

  • Audi
  • Hyundai Creta
  • Mahindra Scorpio
  • Rolls Royce
  • Swift
  • Tata Safari
  • Toyota Innova

License

License details for this dataset are unspecified.

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