Introduction
This web site is part of the Coastal Marine Litter Observatory (CMLO). By using CMLO registered users can upload bespoke drone imagery which is fed into a deep learning algorithm for litter detection. The end result of this process is litter inference information that can be downloaded or viewed on map.
Data usage policy
CMLO processes user-uploaded data ("images", "datasets") in order to locate litter and produce litter-related metadata through the use of various AI algorithms. Generally CMLO stores all user and system actions paired with the user id or upload id (when applicable) and relative timestamps. This information is used for administrative reasons.
What information does CMLO store when a user registers?
- First/Last name
- Username/Encrypted password
- Email (used for registration or for password reset)
- Entity (optional)
- User "active" status
- Registration timestamp
What information does CMLO store when a user logs in/updates session?
- User id
- Connection token used for two-factor authentication (login)
- Session timestamp used for session expiration checks
What information does CMLO store when a user uploads a dataset?
- User id / (Generated) upload id
- Upload-related descriptive data (optional: title, description, entity etc)
- Upload-related operation data (UAS make/model, UAS camera make/model, dataset timestamps, dataset footprints/altitudes/yaw, algorithm-related image preparation timestamps)
- Raw image data
What information does CMLO store when a dataset is inferred by an AI algorithm?
- Upload id
- Inference timestamps
- Tile inference result (litter/no litter) or litter location and class result (when applicable)
Uploaded dataset policy
Non-logged-in users can view the coverage of every valid dataset uploaded on map, along with dataset image count and generic image timestamp.
Logged-in users can retrieve additional data specifically related to their uploads:
- Image footprints
- Raw images
- Inference results (ie tile images/footprints/results, litter locations etc)
CMLO | SciDrones | version 11.11.0b | 2024-05-14 | email: info at scidrones.com