---
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.