Official YOLO v7 Object Detection COMPLETE Tutorial for Google Colab

This YOLO v7 tutorial enables you to run object detection in colab. This is a complete tutorial and covers all variations of the YOLO v7 object detector. YOLO v7 has just been released and shows accuracy and speed improvements over its predecessors. Currently, YOLO v7 is the world's fastest and most accurate object detector. This tutorial is focused on running pre-trained YOLO v7 models (all seven variants).

YOLO v7 surpasses all known object detectors in both speed and accuracy in the range from 5 FPS to 160 FPS and has the highest accuracy 56.8% AP among all known real-time object detectors with 30 FPS or higher on GPU V100.

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► Time Stamps:
Introduction: (0:00)
Setting up Colab Notebook: (0:22)
Mounting Google Drive: (0:44)
Create YOLOv7 Directories: (1:37)
Download YOLOv7 Model: (2:46)
Modify Code Files: (3:21)
Copy Image and Video: (6:20)
YOLOv7 Object Detection on Images: (6:33)
YOLOv7 Object Detection on Videos: (7:15)
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► Links:
https://github.com/WongKinYiu/yolov7
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► My Other Tutorials:
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