Vidat

An in-browser video annotation tool developed by ANU CVML. The aim of this project is to develop a high-quality video annotation tool for computer vision and machine learning applications with the following desiderata: 1. Simple and efficient to use for a non-expert. 2. Supports multiple annotation types including temporal segments, object bounding boxes, semantic and instance regions, tracklets, and human pose (skeleton). 3. Runs in a browser without external libraries or need for server-side processing. But easy to plug-in a back-end for heavy "in-the-loop" processing (e.g., segments from bounding boxes or frame completion from partial labels). 4. Integrates easily with crowd-sourced annotation services (e.g., Amazon Mechanical Turk). 5. Compatible with all (most) modern browsers and operating systems including tablets. 6. Secure. Data does not need to leave the local machine (since there is no server-side processing). 7. Open-source. Vidat is the open-source project anucvml/vidat (https://github.com/anucvml/vidat) by anucvml, released under MIT. Ion packages it unmodified from commit b4c2ad6ac0a8, adding only a manifest, an icon and a storage compatibility script.

Written by anucvml, published to Oikou by Ben Grande.

• ★ 246 stars on GitHub
• Licence: MIT
• Upstream version latest
• Built from commit b4c2ad6ac0a8

View the repository on GitHub

Not rated. Nobody has said who this app is suitable for, so Personal Clouds and the Oikou app treat it as 18+.

Internet

It asks to reach these hosts, and no others:

• avatars1.githubusercontent.com

Personal Cloud tools

• Keep a database of its own on your Personal Cloud ion.db

Notifications

It does not send push notifications.

Storage

Up to 16 MB on your Personal Cloud.

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