Implementation of Intersection over Union (IoU) in NumPy, TensorFlow & PyTorch for Object Detection

In this video, we are going to learn about the Intersection over Union (IoU) and then Implement it in NumPy, TensorFlow and PyTorch.

What is Intersection over Union (IoU)?
Intersection over Union (IoU) is a popular evaluation metric used in the field of computer vision and object detection. It is used to calculate the overlap between two bounding boxes and is used to evaluate the accuracy of object detection algorithms. IoU is a value between 0 and 1 that represents the overlap between the ground truth and predicted bounding boxes. A high IoU value indicates that the predicted bounding box is accurately aligned with the ground truth bounding box.

Blog Post: https://idiotdeveloper.com/what-is-in...
Code: https://github.com/nikhilroxtomar/Int...

Timeline:
00:00 - Introduction to IoU
02:30 - IoU implementation in NumPy
12:06 - IoU implementation in TensorFlow
15:05 - IoU implementation in PyTorch
18:55 - Outro

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