Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding of digital images and videos.
MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.
Vikit-learn is a computer vision processing toolkit developed using Python, based on deep learning technology.
Statistical Machine Intelligence & Learning Engine
Easy-to-Use C++ Computer Vision Library
Omni Geoguessr AI: A Vision Transformer AI integrated with Geoguessr for automated geographic location prediction and gameplay using streetview panoramas.
A collaboration friendly studio for NeRFs
Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
Deep Learning for Computer Vision (University of Michigan)
🍌 A simple convolutional neural network for classifying photos into classes.
causalimages: An R package for performing causal inference with image and image sequence data
Open-source simulator for autonomous driving research.
Mediapipe is a Python-based project that leverages the power of MediaPipe, OpenCV, and WebSockets to perform real-time video processing and hand tracking. This project is designed to process video frames, detect hand landmarks, classify hand types, and broadcast data using WebSockets for further processing or display.
Explore audio and images with one line of code. Python plotting library for data visualisation.
QRVision is a web service for scanning QR codes, where the frontend interacts with the operator to capture an image through the camera, and the backend processes this image and tries to extract data from QR codes into a database.
Artificial Intelligence > Machine Learning > Deep Learning
Pose estim research on different datasets.
This repository contains code for detecting sign language gestures using YOLOv5. It includes data collection, model training, and detection scripts.
⚡️ A fast and flexible PyTorch inference server that runs locally, on any cloud or AI HW.
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..