dividiti/crowdsource-video-experiments-on-android
Crowdsourcing video experiments (such as collaborative benchmarking and optimization of DNN algorithms) using Collective Knowledge Framework across diverse Android devices provided by volunteers. Results are continuously aggregated in the open repository:
This app allows you to contribute your Android device's processing power to a global effort. It helps researchers and engineers benchmark and optimize deep learning models and image processing applications by collecting real-world performance data from diverse mobile devices. The data goes in as various performance statistics and comes out as aggregated results, helping improve model efficiency. This is for researchers and practitioners in deep learning and embedded systems.
No commits in the last 6 months.
Use this if you want to contribute your Android device to improve the performance and accuracy of AI models for mobile devices.
Not ideal if you are looking for a standalone image recognition app for personal use rather than a research contribution tool.
Stars
27
Forks
3
Language
Java
License
—
Category
Last pushed
Dec 20, 2018
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/dividiti/crowdsource-video-experiments-on-android"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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