README.md

metadata

license: other
task_categories:
  - image-classification
  - object-detection
tags:
  - computer-vision
  - vehicles
  - car
  - cars
  - raw-images

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.