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AI image recognition models are used to classify images into one of multiple classes, depending on their contents.
If you need help with your computer vision platform, the support page is the first place you should look.
In computer vision, raw data consists of images and videos that have not yet been analyzed or added to a dataset.
Computer vision models can be deployed on a wide variety of devices, getting you closer to the source of data collection.
Computer vision analytics help you better understand the predictions that your AI models have made, as well as identify any trends over time.
Testing an AI model before deploying it is crucial to ensure that it is up to your performance and accuracy standards.
Once you’ve uploaded a dataset and annotated your images and videos, you can get started with the computer vision training process.
Downloading or exporting a computer vision dataset lets you easily use it in other applications.
COCO JSON is a common file format in machine learning for training object detection and segmentation models.