DeepFashion is a dataset containing around 800K diverse fashion images with their rich annotations (46 categories, 1,000 descriptive attributes, bounding boxes and landmark information) ranging from well-posed product images to real-world-like consumer photos.

Deepfashion

## Overview

Deepfashion is a dataset for object detection tasks - it contains Denim Jackets Shirts Sweaters annotations for 48 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Dataset Card for "deepfashion"

More Information needed

In-shop Clothes Retrieval Benchmark evaluates the performance of in-shop Clothes Retrieval. This is a large subset of DeepFashion, containing large pose and scale variations. It also has large diversities, large quantities, and rich annotations, including:

7,982 number of clothing items; 52,712 number of in-shop clothes images, and ~200,000 cross-pose/scale pairs;

Each image is annotated by bounding box, clothing type and pose type.