Dataset and benchmark for indoor monocular depth estimation with focus on indoor space types

Major project on Hand sign classification using RGB-D camera (primesense). Classification done based on depth images, rgb images and depth information seperately.

Script to automate continuos parsing of orderbook depth data from binance

Identifies Salt Deposits by analyzing subsurface images.

Dataset for patch-based person classification (person vs. non-person objects) and posture classification (standing vs. sitting vs. squatting). The data was recorded using a Kinect2 sensor and consists of labeled depth image patches of 27 persons in various postures and of various non-person objects. In total, the dataset consists of more than 23…