AI Image Tagging: How to Use a Free Image Tagging API

The Roboflow image tagging API, powered by OpenAI's CLIP model, provides a tool for automatically assigning tags to images, enhancing the searchability of visual content without requiring prior computer vision experience. Users can supply a set of potential tags, and the API identifies the most representative tag for the image, streamlining processes like semantic search. This guide also highlights the distinction between manual and automated image tagging, with the latter being more efficient for large datasets. Roboflow Universe offers a vast array of object detection and classification APIs for more specific tagging needs, such as recognizing empty slots on retail shelves. Users can explore these pre-built models or train custom models to tag images precisely, utilizing resources like Roboflow's Getting Started guide. For further development, tools like the open-source Python package "supervision" can aid in building computer vision applications by filtering predictions and plotting detections, among other features.