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Pamela Gay edited this page Dec 30, 2019
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Purpose: This is an open source image annotation platform suitable for citizen science, complete with native machine learning tools that can be trained through contributed data. This builds on lessons learned from the not-public prior versions (and their may be ghosts in the system that we are still exorcising).
Server Setup:
- AWS notes
- Ubuntu notes
Outline:
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csb-accounts (for everyone)
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Registration
- Informed Consent Wizard
- Default-Login
- OAuth-Logins - to be sorted
- dream for future: 2-factor authentication
- Lost Password Retrieval
- Suspend / Delete Account
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Registration
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CSB-Admin Dashboard (for admin / SU)
- User Management
- Change User Permissions (see DPI209's list)
- Add users
- Delete users
- Manage Plugins
- Add Plugin
- Activate / Deactivate Plugins
- Delete Plugin
- Manage Themes
- Add Themes
- Activate / Deactivate Themes
- Delete Themes
- Manage Languages
- Manage Projects
- Assign Scientists
- (Un)Publish Public
- Manage Achievements/Badges
- User Management
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Projects Dashboard (for scientists / admin / SU)
- Appearance Settings (name, logos, etc)
- Select / Configure Tools
- Generate Comparison Data
- Add Languages
- Data Handling Settings (how many views, all/some users)
- Data
- Image chop
- Add Data Sets (via table upload)
- Prioritise Data
- Check Data Status (this is the how-many-done)
- Verify Data (This is the is-it-good)
- Generate Catalogue
- Download Data
- Tutorial Configuration Dashboard
- Project Handler (NOTE: make sure not blank)
- Content Management System (Specific Pages Only)
- Project Frequently Asked Questions (FAQs)
- Project Data Source Info
- Project Purpose
- Project Credits (who are scientists, funding, etc)
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User Area
- Track non-login related info
- Galleries of Images Marked
- Stats
- Achievements / Badges
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Dreams of Machine Learning being added...