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metadata
license: mit
task_categories:
  - object-detection
size_categories:
  - n<1K

Carla-COCO-Object-Detection-Dataset

COCO-Style Labelled Dataset for Object Detection in Carla Simulator

This dataset contains images and publically accessible URLs for 1028 images, each 640x380 pixels. The dataset is split into 249 test and 779 training examples. Every image comes with an associated label .xml file in the pascal VOC format (./labels/ folder). A MS COCO format of the dataset is available in the ./train.json and ./test.json files. The dataset was collected in Carla Simulator, driving around in autopilot mode in various environments (Town01, Town02, Town03, Town04, Town05) and saving every i-th frame. The labels where then automatically generated using the semantic segmentation information.

Available classes are:

  • Automobile (Car, Truck)
  • Bike
  • Motorbike
  • Traffic light
  • Traffic sign

Example image:

example image

Example annotated image:

example image with annotations

Dataset Structure

Data Instances

A data point comprises an image file name, its publically accessible URL, and its object annotations.

{
    "image_id": 14,
    "width": 640,
    "height": 380,
    "file_name": "Town01_001860.png",
    "url": "https: //github.com/yunusskeete/Carla-COCO-Object-Detection-Dataset/blob/master/images/train/Town01_001860.png",
    "objects": {
        "id": [1, 2],
        "area": [41650, 150],
        "bbox": [
            [201, 205, 238, 175],
            [363, 159, 6, 25]
        ],
        "category": [0, 3]
    }
}

Data Fields

  • image_id: the image id
  • width: the image width
  • height: the image height
  • objects: a dictionary containing bounding box metadata for the objects present on the image
  • id: the annotation id
  • area: the area of the bounding box
  • bbox: the object's bounding box (in the coco format)
  • category: the object's category, with possible values including automobile (1), bike (2), motorbike (3), traffic_light (4) and traffic_sign (5)

Contributions

This repo is a fork from Carla-Object-Detection-Dataset. Acknowledgements are made to DanielHfnr for the original data collection and dataset preparation.