The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider removing the loading script and relying on automated data support. If this is not possible, please open a discussion for direct help.

Roboflow Dataset Page

https://universe.roboflow.com/material-identification/garbage-classification-3/dataset/2

Dataset Labels

['biodegradable', 'cardboard', 'glass', 'metal', 'paper', 'plastic']

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 2023-01-02 },
}

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
Downloads last month
28
Edit dataset card

Models trained or fine-tuned on keremberke/garbage-object-detection

Spaces using keremberke/garbage-object-detection 4