VITON-HD dataset is a dataset for high-resolution (i.e., 1024x768) virtual try-on of clothing items. Specifically, it consists of 13,679 frontal-view woman and top clothing image pairs.

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  Dataset Description

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  Dataset Sources [optional]

Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/Heatmob-Research/VITON-HD.

Dataset

This dataset was created by ARYAN DAS 2021

Contents

VITON HD Test

## Overview

VITON HD Test is a dataset for object detection tasks - it contains Logo annotations for 3,491 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).

zhengchong/VITON-HD dataset hosted on Hugging Face and contributed by the HF Datasets community

this data set is preprocessed clothes mask data from train clothes mask in VITON HD data set you can use it to rappidly train your model and have a quick result.

the images are binary 0 for region of non clothes and 1 for the clothes region this make easy way to train model for segmentate new images from the training set availabale here

TryOnVirtual/VITON-HD-TEST dataset hosted on Hugging Face and contributed by the HF Datasets community

Dataset

This dataset was created by Shreyansh Das

Contents

Dataset

This dataset was created by Tri Nguyen Minh1204

Contents

Dataset

This dataset was created by Tri Nguyen Minh1204

Contents

Eray35/viton-hd-dataset-zip dataset hosted on Hugging Face and contributed by the HF Datasets community

this data set is preprocessed human mask data from train human mask 'image-parse-v3' in VITON HD data set you can use it to rappidly train your model and have a quick result.

the images are multi region labeled like this : color_to_class = { 0: np.array([0, 0, 0], dtype=np.uint8), 1: np.array([0, 0, 85], dtype=np.uint8), 2: np.array([0, 0, 254], dtype=np.uint8), 3: np.array([0, 85, 85], dtype=np.uint8), 4: np.array([0, 119, 220], dtype=np.uint8), 5: np.array([0, 128, 0], dtype=np.uint8), 6: np.array([0, 254, 254], dtype=np.uint8), 7: np.array([51, 169, 220], dtype=np.uint8), 8: np.array([85, 51, 0], dtype=np.uint8), 9: np.array([85, 85, 0], dtype=np.uint8), 10: np.array([85, 254, 169], dtype=np.uint8), 11: np.array([169, 254, 85], dtype=np.uint8), 12: np.array([254, 0, 0], dtype=np.uint8), 13: np.array([254, 85, 0], dtype=np.uint8), 14: np.array([254, 169, 0], dtype=np.uint8), 15: np.array([254, 254, 0], dtype=np.uint8), } every color is for a region in human this make easy way to train model for segmentate new images from the training set availabale here

VITON

## Overview

VITON is a dataset for object detection tasks - it contains Necklace annotations for 1,434 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).

The VITON-DiT dataset is a collection of unpaired human dance videos that encompasses a wide variety of clothing, backgrounds, and body motions.

Dataset

This dataset was created by Hakoru Shiroki

Released under MIT

Contents

raresense/Viton dataset hosted on Hugging Face and contributed by the HF Datasets community

4118 Global import shipment records of Viton Fluoroelastomer with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Dataset

This dataset was created by seeanbooo

Contents

469 Global export shipment records of Viton Freeflow with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

The global Viton rubber market is experiencing robust growth, driven by increasing demand across diverse sectors. While the exact market size for 2025 isn't provided, considering typical CAGR values for specialty chemicals (let's assume a conservative CAGR of 5% based on industry trends), and a plausible 2019 market size of $2 billion (a reasonable starting point given the presence of major players and applications), the market size in 2025 can be estimated at approximately $2.6 billion. This growth is propelled by several key factors. The automotive industry's reliance on high-performance seals and gaskets, coupled with the expansion of the chemical processing and oil exploration industries, fuels significant demand for Viton's exceptional chemical resistance and temperature tolerance. Furthermore, emerging trends like electric vehicles (EVs) and advancements in oil extraction techniques are creating new opportunities for Viton rubber applications. Segmentation within the market reveals significant contributions from FKM (the most common type of Viton), followed by FVMQ and FFKM, catering to various performance requirements. Major players like Chemours, Solvay, and Daikin Chemicals are actively investing in research and development, further driving innovation and market expansion. However, the market faces certain restraints. Fluctuations in raw material prices, particularly fluorinated monomers, can impact production costs and profitability. Furthermore, the emergence of alternative elastomers and the potential for substitution in certain applications present ongoing challenges. Despite these obstacles, the long-term outlook for the Viton rubber market remains positive, with continued growth expected throughout the forecast period (2025-2033) due to the inherent advantages of Viton rubber in demanding environments and the continuous development of new applications. Geographically, North America and Europe are currently major markets, but the Asia-Pacific region presents a significant growth potential due to industrial expansion in countries like China and India. This report provides a detailed analysis of the global Viton rubber market, offering invaluable insights for industry stakeholders. With a focus on market size, growth drivers, challenges, and key players, this report serves as a critical resource for strategic decision-making. We project the global Viton rubber market to be valued at $1.5 billion in 2024, growing at a CAGR of 5% to reach $2.1 billion by 2029. This report uses rigorous data analysis and industry expertise to offer a comprehensive understanding of this dynamic market.