Landmark 5 stops to get here · leads to 2

Intersection over Union

A metric for object detection measuring overlap between predicted and ground truth bounding boxes.

Your route here

5 stops · basics first
  1. Machine Learning ✓ understood

    Building systems that learn patterns from data instead of following hand-written rules, getting better at a task as they see more examples.

  2. Neural Network ✓ understood

    A computational model inspired by biological neural networks, consisting of interconnected nodes (neurons) organized in layers that process information through weighted connections.

  3. Deep Learning ✓ understood

    A subset of machine learning that uses neural networks with multiple layers (deep neural networks) to learn hierarchical representations of data.

  4. Computer Vision ✓ understood

    The field of AI that gets computers to extract meaning from images and video: what is in them, where it is, and how it moves.

  5. Bounding Box ✓ understood

    A rectangular box defined by coordinates that localizes an object in an image, used in object detection.

  6. Intersection over Union · you are here ✓ understood

Picture it

ground truthpredictionoverlapIoU = overlap ÷ union= 13,200 ÷ 54,000= 0.24
Notice IoU is the shaded overlap divided by the total area both boxes cover: 1 means a perfect match, 0 means no overlap.

A metric for object detection measuring overlap between predicted and ground truth bounding boxes.

This concept is essential for understanding model evaluation & metrics and forms a key part of modern AI systems.

  • Object Detection
  • Bounding Box
  • Evaluation

Where it sits

Before this

Bounding Box
Intersection over Union

Leads to

Jaccard Index Non-Maximum Suppression

Explore nearby

Evaluation Jaccard Index Measuring similarity between sets, equivalent to IoU for binary segmentation. Vision & Multimodal Non-Maximum Suppression Filtering overlapping detection boxes by keeping only the most confident predictions. Evaluation Average Precision The weighted mean of precisions at each threshold, where the weight is the increase in recall from the previous threshold. Evaluation Dice Coefficient A metric measuring overlap between predicted and ground truth segmentations, common in medical imaging.