Best Video Annotation Tools

Video Annotation in Vertex AI enables businesses to label and tag objects, actions, and features in video data, which is crucial for training computer vision models that can analyze and interpret dynamic visual content. Vertex AI offers automated and manual annotation tools that support a wide range of video processing tasks, from object detection to activity recognition. By annotating videos, businesses can train more accurate and effective machine learning models for video analytics. New customers receive $300 in free credits to experiment with video annotation tools and apply them to their own datasets. This capability enables businesses to leverage video data for powerful AI applications in industries such as security, entertainment, and sports analysis.

Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.