https://github.com/saura-t/object-detection-yolov7

"Implemented Object Detection for Autonomous Cars in India using YOLOv7, transforming PASCAL VOC annotations into YOLOv7 format to enhance productivity. Conducted hyper-parameter tuning to optimize processing speed by 25 frames per second, contributing to safer and more efficient autonomous driving systems in Indian road conditions."
https://github.com/saura-t/object-detection-yolov7

Last synced: 1 day ago
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"Implemented Object Detection for Autonomous Cars in India using YOLOv7, transforming PASCAL VOC annotations into YOLOv7 format to enhance productivity. Conducted hyper-parameter tuning to optimize processing speed by 25 frames per second, contributing to safer and more efficient autonomous driving systems in Indian road conditions."

• Host: GitHub
• URL: https://github.com/saura-t/object-detection-yolov7
• Owner: saura-t
• Created: 2023-02-14T21:54:42.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-03-14T19:44:01.000Z (8 months ago)
• Last Synced: 2024-10-30T08:44:59.713Z (21 days ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 840 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Object Detection for Autonomous Driving in India