keremberke/yolov8m-shoe-classification
Image Classification
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Datasets:
Tasks:
Image Classification
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Dataset Labels
['converse', 'adidas', 'nike']
Number of Images
{'train': 576, 'test': 83, 'valid': 166}
How to Use
- Install datasets:
pip install datasets
- Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/shoe-classification", name="full")
example = ds['train'][0]
Roboflow Dataset Page
Citation
License
Public Domain
Dataset Summary
This dataset was exported via roboflow.com on October 28, 2022 at 2:38 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 825 images. Shoes are annotated in folder format.
The following pre-processing was applied to each image:
- Auto-orientation of pixel data (with EXIF-orientation stripping)
No image augmentation techniques were applied.
- Downloads last month
- 181
Size of downloaded dataset files:
7.44 MB
Size of the auto-converted Parquet files:
7.58 MB
Number of rows:
831