9 datasets found

Formats: JSON Tags: fundus images

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  • Digital Retinal Images for Vessel Extraction (DRIVE)

    The Digital Retinal Images for Vessel Extraction (DRIVE) database contains 40 2D color fundus images of retinal vessels with a size of 584 × 565, including 20 images for...

  • MuReD (Multi-label Retinal Diseases) dataset

    The MuReD dataset was constructed using the ARIA dataset, containing 143 images and three labels to predict, the STARE dataset, with 388 images and 21 conditions, and the...

  • APTOS2019

    APTOS2019 is a dataset of 3,662 fundus images for diabetic retinopathy classification.

  • FIRE (Fundus Image Registration Dataset)

    Retinal image registration dataset used for testing the proposed RetinaRegNet model.

  • DRIVE

    The DRIVE dataset contains the curvilinear-shaped vessel. This dataset consists of 40 565 × 584 color retinal images, which are split into 20 training images and 20 test images.

  • CHASE

    Automatic segmentation of retinal vessels in fundus images plays an important role in the diagnosis of some diseases such as diabetes and hypertension.

  • STARE

    Automatic segmentation of retinal vessels in fundus images plays an important role in the diagnosis of some diseases such as diabetes and hypertension.

  • Private Dataset

    A private dataset of UAV-borne remote sensing images with a resolution between 10000×10000 and 20000×20000 is constructed. Each remote sensing image which corresponds to the red...

  • ODIR dataset

    The Ocular Disease Intelligent Recognition (ODIR) dataset is a structured ophthalmic database with eight classes covering most common retinal eye diseases.
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