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End of preview. Expand
in Dataset Viewer.
Dataset Labels
['biodegradable', 'cardboard', 'glass', 'metal', 'paper', 'plastic']
Number of Images
{'valid': 2098, 'test': 1042, 'train': 7324}
How to Use
- Install datasets:
pip install datasets
- Load the dataset:
from datasets import load_dataset
ds = load_dataset("nflechas/recycling_app", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/material-identification/garbage-classification-3/dataset/2
Citation
@misc{ garbage-classification-3_dataset,
title = { GARBAGE CLASSIFICATION 3 Dataset },
type = { Open Source Dataset },
author = { Material Identification },
howpublished = { \\url{ https://universe.roboflow.com/material-identification/garbage-classification-3 } },
url = { https://universe.roboflow.com/material-identification/garbage-classification-3 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { mar },
note = { visited on 2023-03-31 },
}
License
CC BY 4.0
Dataset Summary
This dataset was exported via roboflow.com on July 27, 2022 at 5:44 AM GMT
Roboflow is an end-to-end computer vision platform that helps you
- collaborate with your team on computer vision projects
- collect & organize images
- understand unstructured image data
- annotate, and create datasets
- export, train, and deploy computer vision models
- use active learning to improve your dataset over time
It includes 10464 images. GARBAGE-GARBAGE-CLASSIFICATION are annotated in COCO format.
The following pre-processing was applied to each image:
- Auto-orientation of pixel data (with EXIF-orientation stripping)
- Resize to 416x416 (Stretch)
The following augmentation was applied to create 1 versions of each source image:
- 50% probability of horizontal flip
- 50% probability of vertical flip
- Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down
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