AlexanderMelde/S-SPHAR-Dataset
Synthetically Generated Surveillance Perspective Human Action Recognition Dataset: 6901 Videos from 10 action classes, made by a 3D Simulation, all cropped spatio-temporally and filmed from a surveillance-camera like position.
This dataset provides over 6,900 synthetically generated videos of human actions, filmed from typical surveillance camera angles. It's designed for training and testing systems that automatically identify activities in public spaces. Security analysts or researchers building intelligent video monitoring systems can use these videos to improve the accuracy of their action recognition models.
No commits in the last 6 months.
Use this if you need a large, categorized video dataset to train or benchmark systems for detecting and classifying human actions from a surveillance perspective.
Not ideal if you need real-world footage or videos with diverse camera angles and environments beyond a surveillance-like setup.
Stars
9
Forks
1
Language
—
License
—
Category
Last pushed
Sep 28, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/AlexanderMelde/S-SPHAR-Dataset"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
quic/sense
Enhance your application with the ability to see and interact with humans using any RGB camera.
AlexanderMelde/SPHAR-Dataset
Surveillance Perspective Human Action Recognition Dataset: 7759 Videos from 14 Action Classes,...
CV-ZMH/human-action-recognition
Multi Person Skeleton Based Action Recognition and Tracking
Event-AHU/HARDVS
[AAAI-2024] HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors
mmact19/2019
MMAct: A Large-Scale Dataset for Cross Modal Learning on Human Action Understanding