HFID-AL: A Hyperspectral Facial Imaging Dataset for Acne Lesion Detection and Segmentation
Authors/Creators
-
1.
Shenzhen Technology University
Description
HFID-AL is a curated hyperspectral facial imaging dataset for acne lesion detection and segmentation.
The dataset contains approximately 2,900 hyperspectral image cubes collected from 300 participants using an LCTF-based imaging system covering wavelengths from 400–1000 nm with 121 spectral bands at 5 nm intervals.
All images were standardized to 512 × 512 resolution. Among them, 744 images were annotated with expert pixel-level acne lesion masks by board-certified dermatologists in COCO format.
The dataset supports research in:
- hyperspectral dermatological imaging
- acne lesion segmentation
- spectral feature analysis
- medical image understanding
- AI-based skin analysis
Released resources include:
- hyperspectral image cubes
- annotation masks
- metadata
- preprocessing scripts
- benchmark code
- documentation
Baseline experiments using U-Net, LWB-UNet, Mamba-UNet, and VML-UNet are also included.
Files
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Additional details
Dates
- Submitted
-
2026-05-08
Software
- Programming language
- Python
References
- U-Net
- LWB-UNet
- Mamba-UNet
- VML-UNet