Dataset and benchmark for indoor monocular depth estimation with focus on indoor space types
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Updated
May 26, 2024 - Jupyter Notebook
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
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…
Identifies Salt Deposits by analyzing subsurface images.
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