Swimsuit Human Segmentation Dataset
Dataset contains images of people of diverse genders wearing bathing suits, each paired with a corresponding segmentation mask.
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-
- images
- 14,358
-
- people
- 7,179
- Segmentation
- Computer Vision
- Machine Learning
- Object Detection
- Pose Estimation
-
- images
- 14,358
-
- people
- 7,179
Dataset Info
| Characteristic | Data |
| Description | Image of people for facial recognition |
| Data types | Image |
| Tasks | Human Segmentation, Pose Estimation, Computer Vision |
| Number of people | 7,179 |
| 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 |
Statistics
-
- Distribution by gender
Technical
Characteristics
| Characteristic | Data |
| Image extension | jpg |
| Image resolutions | Min = 327x555, max = 3840x5760 |
| Mask extension | png |
| Mask resolutions | Min = 327x555, max = 3840x5760 |
Industries
E-commerce and Retail
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Virtual Try-On Systems:
Enhancing online shopping experiences by allowing users to see how swimsuits fit different body types using AI-driven fitting rooms.
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Product Tagging & Search:
Improving visual search and automatic tagging of swimwear products based on body part segmentation.
Entertainment Industry
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Visual Effects & Animation:
Assisting in realistic body tracking and costume replacement in post-production using accurate human segmentation.
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