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Category: Protocols & Standards
Category: Protocols & Standards
OpenImages is a standardized dataset format and annotation protocol for computer vision, containing millions of labeled images for training object detection and classification models.
OpenImages provides hierarchical labels, bounding boxes, segmentation masks, and relationship annotations in a consistent format. It uses a standardized vocabulary of visual concepts.
The format includes confidence scores, verification status, and detailed metadata for each annotation.
OpenImages sets the standard for how visual datasets should be structured and annotated. It enables fair comparison between different computer vision models.
The dataset's scale and quality have made it a benchmark for evaluating state-of-the-art vision systems.
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