Image classification is a data labeling task for assigning a label or class to an entire image. Image classification models take an image as input and return a prediction about which classes the image belongs to.
Image classification is used when we are not interested in specific instances of objects in an image with location or spatial information. The use cases involve matching visual content to predefined categories. Example use cases:
Assign keywords to each image in stock photography
Organize and categorize photo galleries using keywords or tags for better browsing experience
Detect and filter any images with undesired content such as gore
Recommend similar products based on features of an image
Select Approve or Reject for an image with completed annotations to validate quality
In this section below, we'll cover the steps to launching your image classification project.
For detailed steps on setting up taxonomy/questions, click here.
Image classification can be considered the fundamental problem in the field of computer vision. It doesn’t require detecting the objects in the image, simply classifying the image itself.
Launch your image classification project on SUPA BOLT today!