Best Image Annotation Tools for Google Cloud Storage

Compare the Top Image Annotation Tools that integrate with Google Cloud Storage as of October 2025

This a list of Image Annotation tools that integrate with Google Cloud Storage. Use the filters on the left to add additional filters for products that have integrations with Google Cloud Storage. View the products that work with Google Cloud Storage in the table below.

What are Image Annotation Tools for Google Cloud Storage?

Image annotation tools are used to automatically process and label digital images using advanced techniques in machine learning, AI, and computer vision. These tools can accurately recognize important features in images, such as objects, characters, or facial expressions. This data can then be used for various purposes such as automatic image tagging and sorting. Image annotation is becoming an increasingly popular tool for organizing large databases of images and videos. Compare and read user reviews of the best Image Annotation tools for Google Cloud Storage currently available using the table below. This list is updated regularly.

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    Alegion

    Alegion

    Alegion

    Alegion is the data labeling solution for enterprise-grade Machine Learning. We lead the industry in streaming, high-resolution, high-density video annotation, delivering accurately-annotated, model-ready data to train and validate ML models. Alegion provides both the platform and workforce to operate with quality at scale, processing structured and unstructured data including video, image, audio, and text. Our ML powered platform speeds up task completion by as much as 70%, including classless object tracking and single click smart polygon generation. Segmentation options include Keypoint, Bounding Box, Polyline, & Polygon segmentation, for image and video. Semantic Segmentation tools deliver seamless entity boundaries with pixel perfect accuracy. NLP and NER capabilities support text and audio classification and sentiment analysis. The platform is highly configurable to support hybrid use cases. Available via SaaS (Alegion Control), Managed Platform, and Managed Labeling Services.
    Starting Price: $5000
  • 2
    CVAT

    CVAT

    CVAT

    Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. CVAT’s blazing-fast, intuitive user interface, was designed by working closely with real-world teams solving real-world problems. From medical to retail to autonomous vehicles, world’s most ambitious AI teams use CVAT as a part of their AI workflow every day. No matter what your input data or expected results are, CVAT is ready. It works great with images, videos, and even 3D. Bounding boxes, polygons, points, skeletons, cuboids, trajectories, and more. Annotate more efficiently with automated interactive algorithms like intelligent scissors, histogram equalization, and more. Gain actionable insights with metrics such as annotator working hours, objects per hour, and more.
    Starting Price: $33 per month
  • 3
    Label Studio

    Label Studio

    Label Studio

    The most flexible data annotation tool. Quickly installable. Build custom UIs or use pre-built labeling templates. Configurable layouts and templates adapt to your dataset and workflow. Detect objects on images, boxes, polygons, circular, and key points supported. Partition the image into multiple segments. Use ML models to pre-label and optimize the process. Webhooks, Python SDK, and API allow you to authenticate, create projects, import tasks, manage model predictions, and more. Save time by using predictions to assist your labeling process with ML backend integration. Connect to cloud object storage and label data there directly with S3 and GCP. Prepare and manage your dataset in our Data Manager using advanced filters. Support multiple projects, use cases, and data types in one platform. Start typing in the config, and you can quickly preview the labeling interface. At the bottom of the page, you have live serialization updates of what Label Studio expects as an input.
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