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--- |
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task_categories: |
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- object-detection |
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tags: |
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- roboflow |
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--- |
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### Roboflow Dataset Page |
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https://universe.roboflow.com/material-identification/garbage-classification-3/dataset/2 |
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### Dataset Labels |
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``` |
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['biodegradable', 'cardboard', 'glass', 'metal', 'paper', 'plastic'] |
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``` |
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### Citation |
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``` |
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@misc{ garbage-classification-3_dataset, |
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title = { GARBAGE CLASSIFICATION 3 Dataset }, |
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type = { Open Source Dataset }, |
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author = { Material Identification }, |
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howpublished = { \\url{ https://universe.roboflow.com/material-identification/garbage-classification-3 } }, |
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url = { https://universe.roboflow.com/material-identification/garbage-classification-3 }, |
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journal = { Roboflow Universe }, |
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publisher = { Roboflow }, |
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year = { 2022 }, |
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month = { mar }, |
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note = { visited on 2023-01-01 }, |
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} |
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``` |
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### License |
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CC BY 4.0 |
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### Dataset Summary |
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This dataset was exported via roboflow.com on July 27, 2022 at 5:44 AM GMT |
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Roboflow is an end-to-end computer vision platform that helps you |
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* collaborate with your team on computer vision projects |
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* collect & organize images |
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* understand unstructured image data |
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* annotate, and create datasets |
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* export, train, and deploy computer vision models |
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* use active learning to improve your dataset over time |
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It includes 10464 images. |
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GARBAGE-GARBAGE-CLASSIFICATION are annotated in COCO format. |
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The following pre-processing was applied to each image: |
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* Auto-orientation of pixel data (with EXIF-orientation stripping) |
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* Resize to 416x416 (Stretch) |
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The following augmentation was applied to create 1 versions of each source image: |
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* 50% probability of horizontal flip |
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* 50% probability of vertical flip |
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* Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down |
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