This machine learning model analyzes an input image, then returns descriptive labels for 1,000 unique categories. Image classifiers like this are useful and customizable for a wide variety of applications; like manufacturing defect detection, e-commerce visual search, medical imaging, and more.
Accuracy threshold: 0.9
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