Giecom/giecom-vit-model-clasification-waste
Image Classification
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Datasets:
Tasks:
Image Classification
Sub-tasks:
multi-class-image-classification
Languages:
English
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
crowdsourced
Source Datasets:
original
License:
image
imagewidth (px) 160
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End of preview. Expand
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Dataset Card for recycling-dataset
Dataset Summary
This is a recycling dataset that can be used for image classification. It has 11 categories:
- aluminium
- batteries
- cardboard
- disposable plates
- glass
- hard plastic
- paper
- paper towel
- polystyrene
- soft plastics
- takeaway cups
It was scrapped from DuckDuckGo using this tool: https://pypi.org/project/jmd-imagescraper/
- Downloads last month
- 100
Size of downloaded dataset files:
89 MB
Size of the auto-converted Parquet files:
84.9 MB
Number of rows:
3,107
Models trained or fine-tuned on viola77data/recycling-dataset