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
-
Virtual Try-On Systems:
Enhancing online shopping experiences by allowing users to see how swimsuits fit different body types using AI-driven fitting rooms.
-
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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