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Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...
“That’s why we’re introducing FACET, a new comprehensive benchmark for evaluating the fairness of computer vision models across classification, detection, instance segmentation and visual ...
The demonstrated success of vision transformers in handling medical images underscores the necessity for further exploration of transformer-based models in medical image analysis, reshaping the ...
Currently, in preview, Vertex AI Vision is an extension of AutoML Vision that can train models to perform image classification and object detection.
Setting aside FACET’s potentially problematic origins, Meta says that the benchmark can be used to probe classification, detection, “instance segmentation” and “visual grounding” models ...
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