AI Retinal Image Dataset
AI Retinal Image Dataset
Datasets
AI Retinal Image Dataset
File
AI Retinal Image
Use Case
AI Retinal Image
Description
Access a curated dataset of 307 high-resolution AI-generated retinal images for glaucoma detection research.
Description:
This AI-generated retinal image is designed for glaucoma detection research. It includes high-quality JPEG images (1024×1024 pixels) generated using advanced AI techniques from OpenAI’s API, ensuring the images closely resemble real retinal scans. The dataset is curated for accuracy and consistency, providing valuable resources for researchers and developers in ophthalmology.
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Dataset Details
- Total Images: 307
- Categories:
- Glaucomatous Images: 152 images with a cup-to-disc ratio > 0.5
- Normal Images: 155 images without glaucoma or other eye diseases
Features
- High-Quality Images: Ensures clear and precise visuals for effective analysis.
- Advanced AI Generation: Utilizes OpenAI API keys for generating realistic retinal images.
- Diverse Applications: Ideal for machine learning model training, improving glaucoma diagnosis and treatment accuracy.
Additional Content
- Annotations: Each image includes detailed annotations for better understanding and analysis.
- Metadata: Comprehensive metadata for each image, including patient age, gender, and other relevant details.
- Usage Scenarios: Suitable for training classifiers, developing diagnostic tools, and conducting ophthalmic research.
- Accessibility: Easy download and integration into various machine learning frameworks.
This dataset is sourced from Kaggle.
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