AI model purpose-built for tasks that need a consistent, reliable answer every time — reading documents, classifying content, transcribing speech.
Results for “computer vision”
20 tools found
Platform for labeling, organizing and quality-checking the images, video and sensor data used to train computer vision and robotics AI models.
Data annotation platform built for organizations running many labeling projects at once across images, video, text, PDF and geospatial data.
Data platform for labeling, curating and generating human feedback to train and fine-tune AI models, including reinforcement learning workflows.
AI content moderation API that detects harmful text, images, video and audio (NSFW, hate speech, violence, CSAM, AI-generated content) at scale.
AI platform that combines drone photos and on-site sensors to automatically spot problems — like a failing solar panel or a manufacturing defect — without a person having to inspect everything by hand.
AI tool that reads construction blueprints and automatically measures and counts everything on them — walls, doors, square footage — for building a cost estimate.
AI that looks at photos of a damaged car or house and writes up a repair estimate in seconds — the kind of assessment that normally takes a human adjuster days.
Liste de ressources: Awesome Computer Vision
CVPR - IEEE Conference on Computer Vision and Pattern Recognition
ICCV - International Conference on Computer Vision
Open-source projects tagged computer-vision on GitHub
Library for image processing, camera calibration, tracking, SFM, MVS, 3D vision, QR Code and much more.
Medical image processing application with an API.
No-code mobile app test automation tool built on top of computer vision and AI.
Self-hosted, local-only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor. ([Source Code](https://github.com/roflcoopter/viseron)) `MIT` `Docker`
VLFeat is an open and portable library of computer vision algorithms, which has a Matlab toolbox.
Together with AForge.NET, this library can provide image processing and computer vision algorithms to Windows, Windows RT and Windows Phone. Some components are also available for Java and Android.
An open source computer vision framework that gives access to several high-powered computer vision libraries, such as OpenCV. Written on Python and runs on Mac, Windows, and Ubuntu Linux.
A dataset oriented towards computational color constancy, but useful for computer vision in general. It includes synthetic data, camera sensor data, and over 700 images. (Formats: tiff)