This dataset was collected in order to carry out segmentation, feature extraction, and classification tasks and compare the common segmentation.

The dataset consists of .dcm files containing MRI scans of the spine of the person with several dystrophic changes

An improved encoding method that restarts the detection process for each video independently. This ensures accuracy by avoiding connections to previous videos.

This dataset contains images of various plastic objects commonly found in everyday life. Each image is annotated with bounding boxes around the plastic items.

The dataset provides a platform for outdoor weather analysis by extracting various features for recognizing different weather conditions.

Explore our WildFire-Smoke Detection Dataset designed specifically for YOLO object detection models. Perfect for researchers and developers.

Semantic Segmentation is one of major tasks in Computer Vision. It is the pixel-wise classification of an image into object classes.

Explore our Handwritten Signature Dataset featuring unique signatures from 27 individuals, ideal for research in signature verification.

WLASL is the largest video dataset for Word-Level American Sign Language (ASL) recognition, which features 2,000 common different words in ASL.

TACO comprises a diverse range of high-resolution images of various types of litter in different contexts and environments.