How a Neural Network Grades the Quality of Image Descriptions
AWS has added multimodal evaluators to Strands Evals, a tool for assessing AI models. They check whether descriptions of images, abacuses and screenshots match reality. Previously, text-only evaluators could not see the image and so could not verify the accuracy of a model's answers.
AI-processed from AWS Machine Learning Blog; edited by Hamidun News
To check how well your neural network describes pictures, recognizes documents or analyzes charts, you need a reliable evaluation system. AWS has introduced Strands Evals, a multimodal evaluator that sees not only the model's answer but also the image itself.
Why don't text-only evaluators work for neural networks that handle images?
Text-only evaluators compare a model's answer with a reference answer, but they cannot see the image itself. A multimodal evaluator checks whether a description contains accurate details from the photo and whether data has been extracted correctly.
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