OpenLitterMap is an open source, interactive, and accessible database of the world's litter and plastic pollution.
Just take a photo and tag it with our app.
Litter is the first application of this real-time data collection platform.
For the last 8+ years we have been crowdsourcing data to help train the OpenLitterAI to help with detection and classification.
You can extend our pre-defined list of tags with your own custom tags. Just type in whatever you want and press enter.
Keep the global map open to see live updates. If you click on a notification, you will be zoomed to the data that was just recorded. Copy the URL to get a link that can send anyone to any photo.
Our code & data is open and accessible. Anyone can download our data for free, and use it for any purpose. This is necessary to bring transparency and democracy to science on pollution.
As you tag litter, you help your country compete at the #LitterWorldCup to see who can collect the most data.
By default, all users are anonymous. However, you can make your name or username appear on the map or leaderboards and compete for a position. You can also add your social media links which will appear on each upload. Like getting upvoted, the more data you upload means the more visibility you will get!
Follow us on social media to keep up to date with all of the latest updates and developments.
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The developer, Sean Lynch, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy .
Data Linked to You
The following data may be collected and linked to your identity:
Location
Contact Info
User Content
Identifiers
Other Data
Privacy practices may vary based, for example, on the features you use or your age. Learn More
Accessibility
The developer has not yet indicated which accessibility features this app supports. Learn More
Information
Provider
Sean Lynch
Size
49.7 MB
Category
Education
Compatibility
Requires iOS 15.0 or later.
iPhone Requires iOS 15.0 or later.
iPod touch Requires iOS 15.0 or later.
Mac Requires macOS 12.0 or later and a Mac with Apple M1 chip or later.
