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--- |
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license: mit |
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task_categories: |
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- object-detection |
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size_categories: |
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- n<1K |
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--- |
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# Carla-COCO-Object-Detection-Dataset-No-Images |
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**Hugging Face COCO-Style Labelled Dataset for Object Detection in Carla Simulator** |
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This dataset contains 1028 images, each 640x380 pixels, with corresponding publically accessible URLs. |
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The dataset is split into 249 test and 779 training examples. |
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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. |
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The labels where then automatically generated using the semantic segmentation information. |
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**Available classes are:** |
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* Automobile (Car, Truck) |
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* Bike |
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* Motorbike |
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* Traffic light |
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* Traffic sign |
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**Example image:** |
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![example image](https://github.com/yunusskeete/Carla-COCO-Object-Detection-Dataset/raw/master/images/train/Town01_011940.png) |
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**Example annotated image:** |
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![example image with annotations](https://github.com/yunusskeete/Carla-COCO-Object-Detection-Dataset/raw/master/Town01_011940_annotated.png) |
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## Dataset Structure |
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### Data Instances |
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A data point comprises an image, its file name, its publically accessible URL, and its object annotations. |
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```json |
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{ |
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"image_id": 14, |
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"width": 640, |
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"height": 380, |
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"file_name": "Town01_001860.png", |
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"url": "https: //github.com/yunusskeete/Carla-COCO-Object-Detection-Dataset/raw/master/images/train/Town01_001860.png", |
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"objects": { |
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"id": [1, 2], |
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"area": [41650, 150], |
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"bbox": [ |
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[201, 205, 238, 175], |
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[363, 159, 6, 25] |
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], |
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"category": [1, 4] |
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} |
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} |
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``` |
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### Data Fields |
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* **image_id**: the image id |
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* **width**: the image width |
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* **height**: the image height |
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* **objects**: a dictionary containing bounding box metadata for the objects present on the image |
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* **id**: the annotation id |
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* **area**: the area of the bounding box |
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* **bbox**: the object's bounding box (in the coco format) |
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* **category**: the object's category, with possible values including automobile (1), bike (2), motorbike (3), traffic_light (4) and traffic_sign (5) |
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## Contributions |
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This repo is a fork from [Carla-Object-Detection-Dataset](https://github.com/DanielHfnr/Carla-Object-Detection-Dataset). |
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Acknowledgements are made to [DanielHfnr](https://github.com/DanielHfnr) for the original data collection and dataset preparation. |