Garbage Image Dataset

Citation Author(s):
Mamta
Bhamare
Dr.Vishwanth Karad World Peace University
Manav
Walunj
Dr.Vishwanth Karad World Peace University
Yash
Kangale
Dr.Vishwanth Karad World Peace University
Kaustubh
Jagtap
Dr.Vishwanth Karad World Peace University
Kundan
Walunj
Dr.Vishwanth Karad World Peace University
Rashmi
Apte
Submitted by:
Mamta Bhamare
Last updated:
Fri, 03/29/2024 - 03:02
DOI:
10.21227/c0q8-nr65
License:
0
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Abstract 

The Garbage Image Dataset consists of images of garbage items collected from nearby localities using smartphones. The dataset is categorized into five different classes. Each category represents a specific type of garbage item commonly found in everyday waste. The purpose of the Garbage Image Dataset is to provide a collection of labelled images of garbage items from different categories. The dataset can be used to train and evaluate deep learning models for garbage classification tasks. By training models on this dataset, they can learn to classify real world images of garbage items into one of the predefined categories.

Instructions: 

The Garbage Image Dataset consists of images of garbage items collected from nearby localities using smartphones. The dataset is categorized into five different classes. Each category represents a specific type of garbage item commonly found in everyday waste. The purpose of the Garbage Image Dataset is to provide a collection of labelled images of garbage items from different categories. The dataset can be used to train and evaluate deep learning models for garbage classification tasks. By training models on this dataset, they can learn to classify real world images of garbage items into one of the predefined categories.

Dataset Files

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