alen-smajic / Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning

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.

Date Created 2020-12-12 (3 years ago)
Commits 122 (last one 3 years ago)
Stargazers 61 (0 this week)
Watchers 4 (0 this week)
Forks 20
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alen-smajic/Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning is also tagged with popular topics, for these it's ranked: python (#15,730/20457),  deep-learning (#6,027/7826),  machine-learning (#5,680/7374),  pytorch (#4,262/5590),  computer-vision (#2,131/2822),  object-detection (#827/1084),  jupyter-notebook (#432/568),  numpy (#393/508),  cnn (#366/506),  computer-science (#338/424),  yolo (#236/320)

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updated: 2024-06-26 @ 10:26am, id: 320820311 / R_kgDOEx9UVw