Open Images dataset
A large-scale dataset of images with object segmentation, bounding boxes, and visual relationship annotations.
What is Open Images dataset?
Open Images is a large-scale, publicly available dataset designed for computer vision research, containing millions of images annotated with object segmentation masks, bounding boxes, and visual relationships. It addresses the need for high-quality, diverse training data to advance object detection, segmentation, and scene understanding models. The dataset is widely used to benchmark and develop machine learning algorithms in visual recognition tasks.
Computer vision researchers, machine learning engineers, and data scientists working on object detection, image segmentation, or visual relationship modeling projects.
Developers choose Open Images for its scale, rich annotations, and open accessibility, which provide a robust foundation for training and evaluating state-of-the-art vision models without licensing restrictions.
Overview
The Open Images dataset
Use Cases
Best For
- Training object detection models like YOLO or Faster R-CNN
Related Projects
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