Open Detection is a open source project for object detection and recognition.
Object detection and recognition is the most important focus of Computer Vision. We are constantly in search of methods to have a 'detection' system as powerful as the human being. Given a random query image, we want to have a system capable of answering the questions like: What is present in the image? Is there a house in it? Is there a human in it? Where is the house located? Questions like these which are so trivial to human beings, are extremely difficult for a computer - the same computer which is way faster than human beings in terms of sequential calculations and executions.
The library is built with a very specific goal - to answer the fundamental problem of Computer Vision - Object Recognition and Detection.
We make available to everyone the existing solution in this direction in a common, intuitive and user-friendly APIs.
Open Detection 2017 Projects
Gautam MaluAdding CNN based classifiers and DetectorsAdding CNN based classifiers and dectors to the OpenDetection framework. This requires implementation of training methods and detection methods for...
Xiongtao ChenOpendetection - Improving the Framework for CNNs for 2D DetectionOpen Detection is a standalone open source project for object detection and recognition in images and 3d point clouds. In this proposal, I first make...