Explore our Google reCAPTCHA V2 Image Dataset, designed specifically for advancing object detection technologies like YOLO.

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

To create a dataset for YOLO-based object detection, we compile 1500 images across four classes: buffalo, elephant, rhino, and zebra, preprocessed for optimal model training.

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

There are a lot of different types of shapes and it is important to be able to differentiate between them.

This dataset contains car images for object detection task. The dataset is split into two folders, namely train and test.

This dataset is useful for training and testing object detection models, especially those focused on understanding urban scenes and safety applications.

Containing labelled fruit images to train object detection systems.

YOLOv8 Car Object Detection Dataset