The main aim of this project is the masking of regions where land is being used in satellite images obtained through Landsat which have a low spatial resolution.

Taste the World: A Culinary Adventure with our Food Image Classification Dataset

The dataset contains 160 pairs of noisy/ground-truth images taken by the following smartphones under different lightening conditions.

The Tumor Detection Dataset is a specialized dataset intended for a Computer Vision Project that focuses on Instance Segmentation.

This dataset is split into training and testing data, Which is further split into Cracked(Oxidized) and Normal Tires. It can be used for binary classification

The “Lions or Cheetahs – Image Classification” dataset is a collection of images downloaded from the Open Images Dataset V6, containing photographs of both lions and cheetahs.

This dataset contains weapon detection annotation in pascal VOC format. Each image has its corresponding annotation xml file.

The purpose behind the creation of this dataset is the development of a machine learning model to classify fruits and vegetables as fresh or stale.

Pneumonia is an infection that inflames the air sacs in one or both lungs. It kills more children younger than 5 years old each year than any other infectious disease.

A great number of fruits are grown around the world, each of which has various types. The factors that determine the type of fruit are the external appearance features such as color.