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For two years he worked as a tutor for the Computer Science department. He loves passing on his knowledge and getting everypony excited about computer science! One summer he worked for the National Institute of Standards and Technology. He developed an online tool for analyzing thermal neutron triple-axis spectrometry data. He even had his very own nuclear reactor to play with! The next year he ha
The Pascal VOC challenge is a very popular dataset for building and evaluating algorithms for image classification, object detection, and segmentation. However, the website goes down like all the time. In case you need the file, here they are: VOC 2012 Train/Validation Data (1.9 GB) Test Data (1.8 GB) Development Kit PDF Documentation VOC 2007 Train/Validation Data (439 MB) Test Data With Annotati
Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. You can find the source on GitHub or you can read more about what Darknet can do right here: Installing Darknet Darknet is easy to install and run. This post will guide you through it. YOLO: Real-Time Object Detection You only look once (YOLO) is a state-of-t
How It Works Prior detection systems repurpose classifiers or localizers to perform detection. They apply the model to an image at multiple locations and scales. High scoring regions of the image are considered detections. We use a totally different approach. We apply a single neural network to the full image. This network divides the image into regions and predicts bounding boxes and probabilitie
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