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AnnotateIt

AnnotateIt · Open the app · Models & datasets · Documentation

AnnotateIt Fashion-MNIST Mini

Small, deterministic, AnnotateIt-compatible samples derived from Fashion-MNIST.

Upstream revision: b2617bb6d3ffa2e429640350f613e3291e10b141
Upstream license: MIT

File Sample Tasks Format Images Size SHA-256 Derived task
fashion-mnist-object-detection-mini.zip Fashion-MNIST Detection Mini Detection COCO 80 0.08 MiB 0d5009b88164a8235cc4cb9b252aa796b278cef29ab497690ae9895b58312ab5 yes
fashion-mnist-instance-segmentation-mini.zip Fashion-MNIST Segmentation Mini Instance segmentation COCO 80 0.09 MiB cc3da98720ebc9ae909897f444fa05aa20daec7d9cf5e7463c5008d1280e1484 yes
fashion-mnist-multilabel-mini.zip Fashion-MNIST Multi-label Mini Multi-label classification Datumaro 80 0.08 MiB aacd5f000111c158c80d13a6cf68ae25f27e6b82d6c7a9f5e3ed2919b4464fb0 yes
fashion-mnist-hierarchy-mini.zip Fashion-MNIST Hierarchy Mini Hierarchical classification Datumaro 80 0.08 MiB 304a89945327d91bf522e29e2eafb49f17cc921d83e9edd59f9f193d16c3dab3 yes

Each ZIP contains its own LICENSE and SOURCE.md. The ZIPs were generated with AnnotateIt's production exporters and are intended as quick-access examples, not replacements for the full upstream dataset.

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