This is the most common disease in freshwater aquaculture. This is a custom dataset. Data collected from various websites and some images from various Institutes of Freshwater Aquaculture in South Asia.

Dermatology dataset includes 686 photos and suitable for the the neural network to identify problem areas of the skin on the face by the IGA scale.

A collection of images of blood cancer can be incredibly helpful for doctors and researchers. It can greatly improve our ability to diagnose and study this disease.

Utilize this dataset and training models to create a computer vision system capable of accurately classifying bone breaks from X-ray images.

It was a project about chest cancer detection using machine learning and deep leaning (CNN)

We made this dataset to speed up the development of computer programs that can detect fractures automatically. This will help improve medical diagnosis and take better care of patients.

Researchers and practitioners in the field of medical image analysis can use this dataset to train and evaluate semantic segmentation models for tumor detection.

Globose Technology Solutions Private Limited is at the forefront of changing how we detect brain tumors with its cutting-edge imaging technology, offering unmatched clarity with a resolution of 256×256 pixels.

CVC-ClinicDB is a database of frames extracted from colonoscopy videos. The dataset contains several examples of polyp frames & corresponding ground truth for them.

Ideally, researchers utilize it alongside Gram staining methods to precisely identify the particular bacterial strains causing the infections.