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In this video, you'll discover how to:
1-Utilize Ultralytics and YOLOv8 for object detection in both images and videos.
2-Customize and train your own YOLO model using your personal dataset.
3-Employ PyTorch to train a Convolutional Neural Network (CNN) for keypoint extraction.
4-Implement object trackers to monitor objects across multiple frames.
5-Work with OpenCV (CV2) to handle video reading, manipulation, and saving.
6-Evaluate detection data and use a data-driven approach for feature development.
7-Combine the outputs of these ML/DL models into a cohesive project with tangible results.
#computervision #ai #nlp #transformer #machinelearning