We have preserved a total of 12663.00 kg of CO₂ across 463 leaderboard entries! Join the movement — download D.Waste and help us make a difference!
Pruning and Quantization in Keras using TrashNet Dataset
Pruning and quantization are powerful techniques that can optimize deep learning models, especially in resource-constrained environments. They help to reduce model size and computational requirements while maintaining similar performance to the original model.
Read article Chevron Forward
Manage Household Waste using Open Source Data
Waste management is a major issue in our modern society. The increasing population and consumption lead to more waste being generated.
Deep Learning Approach to Manage Household Waste
Household waste, or residential waste, is the discarded material produced by individuals and families in their homes, including food scraps, paper, plastics, glass, metal, and electronics. These waste generated on a daily basis varies significantly, influenced by various factors such a location, population density, and lifestyle.