Jaundice Image Dataset
Jaundice Image Dataset
Datasets
Jaundice Image Dataset
File
Jaundice Dataset
Use Case
Jaundice Dataset
Description
Explore our comprehensive Jaundice Image Dataset featuring 200 images of jaundiced children and 560 control images.
Description:
The “Jaundice Dataset” supports the development and evaluation of machine learning models for detecting jaundice in children. It includes high-resolution images in two categories: children with jaundice and children without jaundice.
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Contents
- Jaundice Folder: 200 images of children diagnosed with jaundice, captured under controlled lighting for consistency.
- Normal Folder: 560 images of children without jaundice, serving as a control group for comparative analysis.
Applications
- Training and validating ML models for early jaundice detection.
- Medical research and development of automated diagnostic tools.
- Educational purposes for demonstrating image classification and medical diagnosis.
Data Collection Collected from diverse healthcare facilities, each image is labeled and verified by medical professionals to ensure classification accuracy.
Potential Use Cases
- Healthcare Automation: Developing systems for early jaundice detection to aid healthcare professionals.
- Educational Projects: Practical dataset for academic research in medical image analysis.
- Algorithm Benchmarking: Benchmark dataset for comparing ML model performance in medical image classification tasks.
This dataset is sourced from Kaggle.
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