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COCO Annotator vs Labelbox

COCO Annotator

github.com

Labelbox

labelbox.com

Side by side

FigureCOCO AnnotatorLabelbox
Price fromFree—
Free planYes—
Free trial——
Open sourceYes—
WebYesYes
WindowsYes—
LinuxYes—
APIYesYes
Self-hostedYes—
Plans published20
Spec score · AI Image Annotation Tools9.0 (#2)7.5 (#16)
SupportThe project invites users to join its Discord community of machine-learning practitioners.The Foundry guide directs users with workflow questions or feedback to submit a support ticket.
What it doesCOCO Annotator is a web application for creating image-training annotations for object detection and localization.Labelbox builds reinforcement learning environments for AI labs and provides Recursion, a platform for enterprises to run fleets of agents.

Plans

COCO Annotator

  • MIT-licensed softwareFree
  • Open-source self-hostedFree

COCO Annotator pricing →

Labelbox

No plans published.

Labelbox pricing →

In their own words

COCO Annotator

COCO Annotator is a web-based tool for creating image annotations used in training data for localization and object detection. It supports bounding boxes, polygons, segmentation masks, keypoints, and points, along with disconnected shapes treated as one instance, multiple labels on an image segment, and custom metadata. Users can import existing COCO datasets and export annotations in COCO format. Assisted options include DEXTR, MaskRCNN, Magic Wand, semi-trained model annotation, and Google Images dataset generation. The software includes user authentication and a REST API, with a Swagger interface at localhost:5000/api. It is self-hosted on Linux or Windows, and Docker with docker-compose is required because Docker is the only supported installation method. Documentation covers development and production builds, centralized datasets, and external access. The server uses Flask, Eventlet, and Gunicorn, while long-running requests go to RabbitMQ workers. The project recommends HTTPS to encrypt browser-to-site communication and invites users to its Discord community. It is listed as free under an MIT-licensed plan.

Visit github.com

Labelbox

Labelbox provides tools for AI training data, reinforcement learning environments, evaluations, annotation, and enterprise agent workflows. Its Recursion platform can run fleets of agents across connected applications. Work can start from schedules, alerts, events, or API calls; agents can plan jobs, run specialist agents in parallel, use sandboxes, and return graded results with evidence. Shown integrations include Slack, GitHub, Linear, Salesforce, Databricks, Google Drive, Box, and Jira. Horizon supplies reinforcement-learning environments and evaluations for reasoning, tool use, and computer use. Labelbox Annotate offers more than 10 editors for multimodal chat, LLM evaluation, prompt and response generation, computer vision, and natural language processing. Expert services cover RLHF, supervised fine-tuning, preference ranking, red teaming, and coding or agent tasks. The company says its experts span over 200 domains and 30 languages. A free tier includes 10,000 Labelbox units before card charging. Pricing is otherwise directed to contact.

Visit labelbox.com