Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning

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.

90 Stars
31 Forks
5 Watchers
Jupyter Notebook Language
mit License
100 SrcLog Score
Cost to Build
$3.50M
Market Value
$5.59M

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12 data points  ·  2021-08-01 → 2026-10-01
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What 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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