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| Try this demo for an object detector trained on <a href="https://github.com/hasibzunair/RSUD20K">RSUD20K</a>, | |
| introduced in our paper <a href="https://arxiv.org/abs/2401.07322">RSUD20K: A Dataset for Road Scene Understanding In Autonomous Driving</a>. | |
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| RSUD20K is a new object detection dataset for road scene understanding, | |
| comprised of over 20K high-resolution images from the driving perspective | |
| on Bangladesh roads, and includes 130K bounding box annotations for | |
| 13 objects. | |
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| You can use this demo to get the a bounding box and class label predictions of objects present in your images or videos. To use it, simply | |
| upload an image or video of your choice and hit submit. You will get one or more bounding boxes and names of objects present | |
| in your images or videos from this list: | |
| (person, rickshaw, rickshaw van, auto rickshaw, truck, pickup truck, private car, motorcycle, bicycle, bus, micro bus, covered van, human hauler) | |
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| <a href="https://www.kaggle.com/datasets/hasibzunair/rsud20k-bangladesh-road-scene-understanding">Dataset Page</a> | |
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