Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
alen-smajic
My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
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7 data points · 2021-08-01 → 2025-03-01How do you feel about this project?
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Question copied to clipboardWhat is the alen-smajic/Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning GitHub project? Description: "My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.
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