UniDataPro/swimsuit-human-segmentation-dataset

People Clothing Segmentation Dataset

Dataset comprises 14,358 high-quality photos of 7,179 people of diverse genders wearing bathing suits, each paired with detailed segmentation masks for precise body-parts segmentation. It designed for semantic and instance segmentation tasks, this large-scale collection offers manually annotated labels, enabling robust training for deep learning models in human body analysis.

By leveraging this dataset, researchers can train high-precision segmentation models to accurately delineate human bodies in swimwear under various real-world conditions. - Get the data

Metadata for the dataset

It significantly improves segmentation accuracy for clothing-aware models, providing high-resolution imaging and corresponding annotations to advance computer vision tasks.

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With Photoshop-crafted masks, dataset supports applications like pose estimation, object detection, and human parsing.

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