Datasets › Waste Classification data
Waste Classification data
PROBLEM Waste management is a big problem in our country. Most of the wastes end up in landfills. This leads to many issues like: Increase in landfills, Eutrophication, Consumption of toxic waste by animals, Leachate, Increase in toxins, Land, water and air pollution.
APPROACH Studied white papers on waste management, Analysed the components of household waste, Segregated into two classes (Organic and recyclable), Automated the process by using IOT and machine learning, Reduce toxic waste ending in landfills
IMPLEMENTATION Dataset is divided into train data (85%) and test data (15%) Training data - 22564 images Test data - 2513 images
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
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License archive 2025-07-28
https://www.kaggle.com/techsash/waste-classification-data
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- Waste Classification data
1 variant name, as the archive lists them.
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