adv cv
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README.md
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README.md
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@ -311,9 +311,36 @@ _Note: Below you can find the best lectures for popular Machine Learning Algorit
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### Object Detection
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- [YOLO](https://pjreddie.com/darknet/yolo/)
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- [YOLO-Object-Counting-API](https://github.com/tugot17/YOLO-Object-Counting-API)
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- [SIFT | Scale Invariant Feature Transform](https://www.youtube.com/watch?v=ttD3pvM6pEI&list=PL1GQaVhO4f_jLxOokW7CS5kY_J1t1T17S&index=19&ab_channel=Cogneethi)
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- [Hog Intuition | Histogram of Oriented Gradients](https://www.youtube.com/watch?v=Qwc3a8cOKRU&list=PL1GQaVhO4f_jLxOokW7CS5kY_J1t1T17S&index=20&ab_channel=Cogneethi)
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- [NMS | Non Max Suppression](https://www.youtube.com/watch?v=07jFApuhh4I&list=PL1GQaVhO4f_jLxOokW7CS5kY_J1t1T17S&index=25&ab_channel=Cogneethi)
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- [Object Localization | Bounding Box Regression](https://www.youtube.com/watch?v=LZRfHkTNQqo&list=PL1GQaVhO4f_jLxOokW7CS5kY_J1t1T17S&index=49&ab_channel=Cogneethi)
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- [Object Detection](https://www.youtube.com/watch?v=77XJeT-Z-uE&list=PL1GQaVhO4f_jLxOokW7CS5kY_J1t1T17S&index=50&t=3s&ab_channel=Cogneethi)
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- [RCNN](https://www.youtube.com/watch?v=dtIZVJAcLxE&list=PL1GQaVhO4f_jLxOokW7CS5kY_J1t1T17S&index=60&t=1s&ab_channel=Cogneethi)
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- [Spatial Pyramid Matching | SPM](https://www.youtube.com/watch?v=6MwuK2wHlOg&list=PL1GQaVhO4f_jLxOokW7CS5kY_J1t1T17S&index=70&t=92s&ab_channel=Cogneethi)
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- [SPPNet Object Detection](https://www.youtube.com/watch?v=M3lx8GHrEsg&list=PL1GQaVhO4f_jLxOokW7CS5kY_J1t1T17S&index=72&ab_channel=Cogneethi)
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- [Fast RCNN Network](https://www.youtube.com/watch?v=ZBPQ7Hd46m4&list=PL1GQaVhO4f_jLxOokW7CS5kY_J1t1T17S&index=77&t=14s&ab_channel=Cogneethi)
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- [Faster RCNN](https://www.youtube.com/watch?v=po59qI5LJGU&list=PL1GQaVhO4f_jLxOokW7CS5kY_J1t1T17S&index=80&ab_channel=Cogneethi)
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- **[Evolution of Object Detection Networks - Entire Playlist](https://www.youtube.com/playlist?list=PL1GQaVhO4f_jLxOokW7CS5kY_J1t1T17S)**
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- [Yolo v4 Object Detection - How it Works & Why it's So Amazing!](https://www.youtube.com/watch?v=_JzOFWx1vZg&t=1s&ab_channel=AugmentedStartups)
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- Frameworks and Libraries
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- [Detectron2 by Facebook AI](https://github.com/facebookresearch/detectron2)
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- [MMDetection](https://github.com/open-mmlab/mmdetection)
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- [MediaPipe](https://github.com/google/mediapipe)
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- [YOLO](https://pjreddie.com/darknet/yolo/)
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- [TensorFlow Object Detection API](https://github.com/tensorflow/models/tree/master/research/object_detection)
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- [Computer Vision Recipes](https://github.com/microsoft/computervision-recipes)
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- Labeling Tools
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- [LabelImg](https://github.com/tzutalin/labelImg)
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- [Roboflow](https://roboflow.com/)
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- [Label Studio](https://labelstud.io/)
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- Code samples
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- [YOLO-Object-Counting-API](https://github.com/tugot17/YOLO-Object-Counting-API)
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### Image Segmentation
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- [Computer Vision Tutorial: A Step-by-Step Introduction to Image Segmentation Techniques (Part 1)](https://www.analyticsvidhya.com/blog/2019/04/introduction-image-segmentation-techniques-python/)
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