Standard 4 stops to get here · leads to 3
Bounding Box
A rectangular box defined by coordinates that localizes an object in an image, used in object detection.
Your route here
4 stops · basics first
- 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.
- 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.
- Deep Learning ✓ understood
A subset of machine learning that uses neural networks with multiple layers (deep neural networks) to learn hierarchical representations of data.
- 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.
- Bounding Box · you are here ✓ understood
Where it sits
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Computer Vision Bounding Box
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Vision & Multimodal Object Detection Finding every object of interest in an image and giving each a class label, a confidence score and a bounding box. Vision & Multimodal Anchor Box Predefined boxes of various sizes and ratios serving as references for object detection. Evaluation Intersection over Union A metric for object detection measuring overlap between predicted and ground truth bounding boxes. Vision & Multimodal Non-Maximum Suppression Filtering overlapping detection boxes by keeping only the most confident predictions.