README.md

metadata

task_categories:
  - object-detection
tags:
  - roboflow
  - roboflow2huggingface
  - Manufacturing

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