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Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning discussion
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning reviews and mentions
- Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN based on the BDD100K dataset
- [P] Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN on the BDD100K dataset, Goethe University Frankfurt Germany (Fall 2020)
- Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN on the BDD100K dataset, Goethe University Frankfurt Germany (Fall 2020)
- Real-time Object Detection for Autonomous Driving using Deep Learning, Goethe University Frankfurt Germany (Fall 2020)
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alen-smajic/Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning is Jupyter Notebook.
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