Dataset Card for Nexdata/Multi-class_Fashion_Item_Detection_Data

Dataset Summary

144,810 Images Multi-class Fashion Item Detection Data. In this dataset, 19,968 images of male and 124,842 images of female were included. The Fashion Items were divided into 4 parts based on the season (spring, autumn, summer and winter). In terms of annotation, rectangular bounding boxes were adopted to annotate fashion items. The data can be used for tasks such as fashion items detection, fashion recommendation and other tasks.

For more details, please refer to the link: https://www.nexdata.ai/datasets/computervision/1057?source=Huggingface

Supported Tasks and Leaderboards

object-detection, computer-vision: The dataset can be used to train a model for object detection.

Languages

English

Dataset Structure

Data Instances

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Data Fields

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Data Splits

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Dataset Creation

Curation Rationale

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Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

Commerical License

Citation Information

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Contributions