[TIP-2020] Official Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"
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Updated
Jul 8, 2025 - Python
[TIP-2020] Official Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"
Iterate.ai has open-sourced a powerful Weapons Detection AI software. The AI was trained on about 100 live guns, plus 20,000 videos of robberies and threats involving weapons. Our engineers taught the AI to detect guns, knives, kevlar vests, and robbery masks.
Extended Mask R-CNN for RGB-D object instance segmentation based on Matterport's implementation. Segmentation accuracy improved by up to 31% using the additional depth input channel.
Self-Supervised Feature Learning by Learning to Spot Artifacts. In CVPR, 2018.
A project for ticketing automated challan for overspeeding vehicles on a decentralized network, and generating dynamic traffic signal timings based on traffic.
This repository provide script to do OCR using some basic Deep Learning approach
Automatic Building Footprint Segmentation: U-Net Production-Level API
This is a list of Computer Science free courses and resources available on Github and internet.
Project: 2D Feature Tracking || Udacity: Sensor Fusion Engineer Nanodegree
Notes and key takeaways of the Self-Driving Cars Perception applied Deep Learning Free Course from freeCodeCamp.org
Convex Polygon Detection
Caffe2-vision help engineer to build vision CNN for training and product, including dataset maker and favorite models
This is shape detection program . It can detect shapes like triangle ,square, rectangle , circle and other shapes as well .
Building A Virtual AI Keyboard Using CV On Pycham IDE
My projects that involve and use machine learning, data science and deep learning techniques with solve or observe a specfic use case
matlab script for creating box around face.
Extract text from handwritten infomation on bank checks images
This repository contains code for fine-tuning Google's PaliGemma vision-language model on the Flickr8k dataset for image captioning tasks
FootballIQ is an end-to-end AI/Computer Vision system designed to analyze football games from broadcast video. It detects and tracks players, referees, and the ball, then extracts advanced analytics such as player speed, distance covered, team control, and spatial understanding of the football field using court keypoint detection.
Crop the object from the video and get it's tracking live over the web-cam.
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