Medical Images
- A large-scale Fine-Grained Annotated Diabetic Retinopathy (FGADR) dataset consists of two subsets: Seg-set (1842 images) and Grade-set (1000 images).
TensorFlow patch_camelyon Medical Images
- Classes : 2(binary)
- Containing over 327,000 color images
- Image type : Histopathologic Cancer Detection. Identify metastatic tissue in histopathologic scans of lymph node sections.
Recursion Cellular Image Classification
- Classes : Your entry will classify images of cells under one of 1,108 different genetic perturbations.
- Image type: Cellular Images
- Classes : 4 (The cell types are Eosinophil, Lymphocyte, Monocyte, and Neutrophil.)
- Total images : 12,500 augmented images(3,000 images for each of 4 different cell types)
- Image type : The cell types are Eosinophil, Lymphocyte, Monocyte, and Neutrophil.
- Classes : 8 (eight common disease labels)
- Total : 108,948 frontal-view X-ray images of 32,717 unique patients collected between 1992 and 2015.
- Image type : Chest X-ray
VIP Laparoscopic / Endoscopic Dataset
- Collection of endoscopic and laparoscopic (mono/stereo) videos and images
Mouse Embryo Tracking Database
- DB Contains 100 examples with the uncompressed frames, up to the 10th frame after the appearance of the 8th cell; a text file with the trajectories of all the cells, from appearance to division; a movie file showing the trajectories of the cells.
FIRE Fundus Image Registration Dataset
- 134 retinal image pairs and ground truth for registration.