imatge-upc/detection-2016-nipsws
Hierarchical Object Detection with Deep Reinforcement Learning
This project helps image analysts or computer vision engineers pinpoint objects within complex images by intelligently zooming into relevant areas. You input an image, and it outputs precise bounding boxes around the identified objects, even when multiple instances are present. It's designed for professionals working with visual data who need to efficiently locate specific items without manually scanning every pixel.
429 stars. No commits in the last 6 months.
Use this if you need an automated way to accurately locate and identify objects within images, especially when dealing with cluttered scenes or multiple instances of the same object.
Not ideal if your primary goal is general image classification or if you need to detect a very wide variety of objects without prior training for specific categories.
Stars
429
Forks
128
Language
Python
License
MIT
Category
Last pushed
Nov 26, 2017
Commits (30d)
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