Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
parquet
Sub-tasks:
multi-class-image-classification
Languages:
English
Size:
10K - 100K
ArXiv:
License:
mariosasko
commited on
Commit
•
c6f5908
1
Parent(s):
7180319
Update image dataset tags (#3864)
Browse files* Align image datasets with new image task tags
* Add missing tags/sections to pass CI
Commit from https://github.com/huggingface/datasets/commit/a0c2e960110392da20c84d13ca3764cf7d7a9953
README.md
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@@ -1,19 +1,22 @@
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---
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annotations_creators:
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- expert-generated
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-
language_creators:
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-
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licenses:
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- mit
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-
multilinguality:
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size_categories:
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- 10K<n<100K
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source_datasets:
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- original
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task_categories:
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-
-
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task_ids:
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-
-
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paperswithcode_id: fashion-mnist
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pretty_name: FashionMNIST
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---
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@@ -58,7 +61,7 @@ Fashion-MNIST is a dataset of Zalando's article images—consisting of a trainin
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### Supported Tasks and Leaderboards
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-
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### Languages
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@@ -128,7 +131,7 @@ We use the front look thumbnail images of 70,000 unique products to build Fashio
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6. Negating the intensities of the image.
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7. Converting the image to 8-bit grayscale pixels.
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#### Who are the source
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**From the arXiv paper:**
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Every fashion product on Zalando has a set of pictures shot by professional photographers, demonstrating different aspects of the product, i.e. front and back looks, details, looks with model and in an outfit.
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---
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annotations_creators:
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- expert-generated
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language_creators:
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- found
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languages:
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- en
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licenses:
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- mit
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multilinguality:
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- monolingual
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size_categories:
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- 10K<n<100K
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source_datasets:
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- original
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task_categories:
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- image-classification
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task_ids:
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- single-label-image-classification
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paperswithcode_id: fashion-mnist
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pretty_name: FashionMNIST
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---
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### Supported Tasks and Leaderboards
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- `image-classification`: The goal of this task is to classify a given image of Zalando's article into one of 10 classes. The leaderboard is available [here](https://paperswithcode.com/sota/image-classification-on-fashion-mnist).
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### Languages
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6. Negating the intensities of the image.
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7. Converting the image to 8-bit grayscale pixels.
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#### Who are the source language producers?
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**From the arXiv paper:**
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Every fashion product on Zalando has a set of pictures shot by professional photographers, demonstrating different aspects of the product, i.e. front and back looks, details, looks with model and in an outfit.
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