yunusskeete / Carla-COCO-Object-Detection-Dataset

COCO-Style Labelled Dataset for Object Detection in Carla Simulator

Carla-COCO-Object-Detection-Dataset

COCO-Style Labelled Dataset for Object Detection in Carla Simulator

This dataset contains 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 annotated image:

Changelog

2023-11-29

Changed

• Recreated dataset in monolythic MS COCO format
  • Removed yolo format
  • Updated README
  • Added image URLs

Contributions

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