Intersection Over Union (IoU) in Object Detection & Segmentation

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Dive into the world of Object Detection and Segmentation with our exploration of Intersection Over Union (IoU), an essential metric that quantifies the overlap between prediction and ground truth. Whether you're a computer vision professional or an enthusiast, understanding IoU is crucial in evaluating a model's accuracy. Join us as we break down this vital checkpoint in an easy-to-understand format.

Topics Covered

✅ Intersection over Union in Object Detection
✅ Intersection over Union in Image Segmentation
✅ Implementing IoU using NumPy
✅ Implementing IoU using PyTorch

⭐️ Time Stamps:⭐️
00:00-00:12: Introduction
00:12-00:31: Object Detection
00:31-02:00: IOU
02:00-02:59: IOU for Object Detection
02:59-06:32: IOU for Segmentation
06:32-06:54: Outro

Resources:
Processing, Image Classification, Object Detection, Face Detection, Face Recognition, YOLO, Segmentation, Pose Estimation, and many more using OpenCV(Python/C++), PyTorch, and TensorFlow.

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#ObjectDetection #ImageSegmentation #IntersectionOverUnion #IoU #ComputerVision #PyTorch #ModelAccuracy#MachineLearning #ArtificialIntelligence #DeepLearning #AI #opencvunibersity #deeplearning #computervision #learnopencv #opencv

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Комментарии

It came handy as I am currently working on related project. Thanks, and keep the good work going.

Ibn_Sulaimaan

Thanks. Can you tell me how to add classes or object to yolo segmentor ?

hihohohi

Good Tutorial!
Didn't quite understand the formulas tho cuz im bad at math, but i got the overall idea
Thanks!

tlots

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