Lower Limb and Feet Wound Image Dataset for Medical Analysis

Published: 11 December 2025| Version 2 | DOI: 10.17632/hsj38fwnvr.2
Contributor:
Md Masudul Islam

Description

This dataset consists of wound image, wound masked, image and normal (healthy) feet images collected from both male and female participants. It is intended to serve as the normal class for lower limb and foot wound image datasets. The images were collected from two sources: (i) From the authors collections: https://ieeexplore.ieee.org/document/10030591 which includes 2686 wound raw images and 2686 masked images of 331x331 px in JPG format (ii) Bangladesh University of Business and Technology (BUBT). The dataset includes 388 female samples and 991 male samples, each containing images of both the left and right feet in healthy condition. In total, there are 1,981 raw images for males and 776 raw images for females, all captured at a resolution of 331×331 pixel in JPG format Total Images: 8,129 (Normal: 2575, Wound Main: 2686, Wound Masked: 2686)

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Institutions

  • Bangladesh University of Business and Technology
  • International Institute of Information Technology Hyderabad

Categories

Wound, Image Classification, Medical Image Processing

Licence