D.Waste is a waste management app that helps users identify waste types by taking a picture. It provides disposal suggestions and reward points for proper waste management. The app offers features like waste awareness, reminders, history management, and offline support. It also includes carbon offset mapping and simplifies recycling campaigns. Available for download on Google Play and the App Store.
Allows users to identify waste type by taking a picture, making recycling easier.
Users receive reward points for disposing of waste correctly.
Provides useful tips for managing different types of waste.
The app functions without internet connectivity.
Stores managed waste and associated points in the device for tracking progress.
Offers timely reminders to sort and manage waste.
The app uses AI to help users identify the type of waste they are trying to dispose of, providing guidance on how to do it correctly.
Offers a rewards program to incentivize proper waste management. Users can earn points for correctly identifying and disposing of waste.
Provides educational resources on waste management and tracks users' progress over time.
Ensures that data provided in the app will never be sold or shared with companies, and does not track users.
Does not exploit psychological vulnerabilities such as bottomless feeds or auto-play to keep users engaged.
The app is open source, allowing everyone to add content and correct information.
The dataset includes waste images categorized into 10 classes: metal, glass, biological, paper, battery, trash, cardboard, shoes, clothes, and plastic.
Images are gathered from various sources through individual contributions and collaborations, all set clear from the D.Waste app.
All images have been labeled and manually verified to ensure accuracy.
Includes data cleaning, resizing, normalization, and file format handling to maintain consistency in the dataset.
The dataset can be downloaded through the provided link with detailed information for citation purposes.
The dataset is updated on a yearly basis to incorporate new data and ensure ongoing relevance.
Images are annotated using the dynamicLabel tool available on GitHub for enhanced dataset utility.
A choropleth map illustrating tons of landfill waste per person by state, providing insights into waste management practices in the U.S.
Calculates the carbon emissions saved from recycling materials. By inputting the weight of recycled items, it determines the amount of CO2 emissions prevented, showing the impact of recycling specific materials.
Allows users to upload images of household waste to classify them using an AI model. The classification runs directly in the browser, keeping the data safe and secure.
Provides a publicly available API for waste classification, allowing developers to integrate waste classification capabilities into their own applications or services.
Allows users to search for recycling centers based on specific items and location by entering a zip code. Results include nearby centers along with details like phone number, address, and services offered (e.g., pick-up, drop-off, curbside). The map provides a visual representation of the locations.
Displays a map with markers showing the locations of recycling centers within a specified radius from the entered zip code. Users can visually identify nearby options.
Provides solutions for common issues such as app not loading, problems with uploading photos, incorrect waste type identification, leaderboard score updating issues, account deletion difficulties, and frequent app crashes.
Guides users on how to look up recycling centers, identify waste types, earn points, and participate in the leaderboard.
Offers a contact form for users to send inquiries directly to the support team for assistance with the app.
Introduced in 1988 to identify the plastic composition, making it easier to understand the recyclability and decomposability of plastics. The code ranges from 1 to 7, indicating different levels of recyclability and types of plastics, accompanied by symbols and resin type abbreviations.
Explains the recyclability of plastics based on the resin identification code, providing specific examples for each type, from 1 to 7, including common uses and recyclability status.
Discusses how manufacturers and consumers might misinterpret recycling codes, leading to improper recycling practices, and emphasizes the need for proper guidelines.