Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding of digital images and videos.
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Estimates airborne drone global position by matching video to map retrieved from onboard GIS server.
An Image Recognizer which can classify 15 different Sports Activities.
glimpse: Glacier Image Particle Sequencer
Series of projects aimed at enhancing practical applications of Artificial Intelligence (AI) from 2022 to 2023. The focus is on practical applications, technology integration, and innovation.
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Datasets, Transforms and Models specific to Computer Vision
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
基于图像识别的自动化黑盒测试框架 | An automation black-box testing framework based on image recognition
Web application for couchsurfing as the final project of my BSc in Computer Science degree at Kharkiv Polytechnic Institute.
[CVPR 2024] 🎬💭 chat with over 10K frames of video!
《明日方舟》小助手，全日常一键长草！| A one-click tool for the daily tasks of Arknights, supporting all clients.
Docker and Flask based API layer + data ingestion pipeline for the Facenet-PyTorch facial recognition library. I.e. simple ML deployment for matching pairs of photos
The BunyipsLib FIRST Tech Challenge Library
Implementing YOLOv5 for fire detection, blazing through images with precision. Harnessing deep learning to swiftly identify flames, safeguarding lives and properties.
Open Source Computer Vision Library
Software Development Kit (SDK) for the Intel® Geti™ platform for Computer Vision AI model training.
📚 Jupyter notebook tutorials for OpenVINO™