hukenovs/hagrid
HAnd Gesture Recognition Image Dataset
HaGRID is a vast collection of over a million high-quality images of people making various hand gestures. It helps in training smart systems that can understand and react to hand movements, which is useful for controlling devices or navigating software without touch. This resource is for anyone developing or researching gesture-controlled interfaces, like those for video conferencing or smart home devices.
960 stars. No commits in the last 6 months.
Use this if you need a large, diverse dataset of static hand gestures to develop and test a system that recognizes hand movements from camera feeds.
Not ideal if you're looking for a small, easily downloadable dataset or if your primary focus is on facial recognition or full-body pose estimation.
Stars
960
Forks
136
Language
Python
License
—
Category
Last pushed
Feb 27, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/hukenovs/hagrid"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
hanleyweng/Gesture-Recognition-101-CoreML-ARKit
Simple project to recognize hands in realtime. 👋 Serves as an Example for building your own...
bhky/nodding-pigeon
Detection and classification of head gestures in videos
sidi762/smart-vendor
Smart vending machine with non-contact interaction based on gesture recognition
celine-hsieh/Hand_Gesture_Training--yolov4
Recognize the gestures' features using the YOLOv4 algorithm
atarancon/HandGesture
Senior Design Engineering Capstone Project