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Commercial
Swimsuit Human Segmentation Dataset
The dataset consists of RGB images of people in swimsuits with corresponding segmentation masks and detailed annotations, designed for semantic segmentation, body-part segmentation, and pose estimation tasks in deep learning, computer vision, and object detection models.
-
- images
- 14,358
-
- people
- 7,178
- Segmentation
- Computer Vision
- Machine Learning
- Object Detection
- Pose Estimation
- Segmentation
- Computer Vision
- Machine Learning
- Object Detection
- Pose Estimation
The dataset consists of RGB images of people in swimsuits with corresponding segmentation masks and detailed annotations, designed for semantic segmentation, body-part segmentation, and pose estimation tasks in deep learning, computer vision, and object detection models.
- Segmentation
- Computer Vision
- Machine Learning
- Object Detection
- Pose Estimation
-
- images
- 14,358
-
- people
- 7,178
Dataset Info
| Characteristic | Data |
| Description | Image of people for facial recognition |
| Data types | Image |
| Tasks | Human Segmentation, Pose Estimation, Computer Vision |
| Number of people | 7,178 |
| Number of files in a set | 2 (image + mask) |
| Total number of files | 14,358 |
| Labeling | Metadata (ID, gender, body frame, tattoos(boolean), mirror photo(boolean )) |
| Gender | Male, Female |
| Types of body frames | Normal, athletic, overweight |
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Statistics
- Gender distribution
- Body type distribution
- Tattoo
- Photo in the mirror
Before You Buy The Full Set
This dataset is available for AI stress testing. We run your model on it and report error rates per class, segment & condition, so you buy only the 5–30% that fixes the classes it missed.
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Technical
Characteristics
| Characteristic | Data |
| Image extension | jpg |
| Image resolutions | Min = 327x555, max = 3840x5760 |
| Mask extension | png |
| Mask resolutions | Min = 327x555, max = 3840x5760 |
Dataset Use Cases
FAQs
What types of annotations are provided?
The dataset offers metadata annotations such as ID, gender, body frame type, tattoos (boolean), and mirror photo (boolean). In addition, it provides binary segmentation masks for each human body, supporting body part segmentation dataset research and neural network training.
Is it possible to request a custom dataset?
Yes, Unidata can create custom datasets tailored to your requirements. You may request additional human poses, body-part segmentation, or specialized annotations to train vision models with higher segmentation accuracy and more detailed annotations.
What body variations are represented in the dataset?
The dataset includes male and female subjects with normal, athletic, and overweight body frames. Metadata also indicates tattoo presence and whether the image was captured in a mirror, increasing diversity for segmentation model training.
What can Swimsuit Human Segmentation Dataset be used for?
The dataset can be used for semantic segmentation, instance segmentation, and pose estimation tasks. It supports research and development in object detection, human parsing, automatic segmentation, and deep learning models that require precise human body segmentation dataset inputs.
How does this swimsuit human segmentation dataset improve body parsing models?
The dataset provides paired RGB images and pixel-level segmentation masks for 7,178 people, enabling accurate human body segmentation, semantic segmentation, and pose estimation. It helps train computer vision models to distinguish body regions under different body types, mirror conditions, and tattoo variations.
How long does it take to receive the dataset?
It typically takes 3–10 days to receive the dataset. Once you submit a request, we will contact you to review the details and finalize the necessary documents. After signing and payment, Swimsuit Human Segmentation Dataset will be securely delivered within this timeframe.
Do Unidata datasets follow GDPR or other data privacy regulations?
Yes. All datasets are designed in line with GDPR compliance and other data protection frameworks. Data is collected responsibly from lawful sources.
How is the data stored?
Unidata ensures all datasets are stored safely on AWS infrastructure, built for security, availability, and scalability. Our operations comply with ISO 27001 and ISO 27701, aligning with international benchmarks for data security and privacy. This delivers a trusted, compliant, and privacy-focused environment for users.
Still have questions about using Unidata datasets?
Read our user-guides
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