In this post, we will continue comparing popular data annotation tools for ML/AI. In our previous post, we cross-compared 12 annotation platforms to make an informed decision about which image annotation platform to choose based on the use case at hand.
Shohrukh Bekmirzaev
Image Annotation Tools of 2024 | Unitlab
We also conducted a comprehensive review of features, pricing, and ideal use cases between Unitlab Annotate and Roboflow Annotate. We will be continuing this review with Unitlab Annotate and V7 Darwin, another popular alternative data annotation platform for image annotation tasks.
Hojiakbar Barotov
Unitlab Annotate vs. Roboflow Annotate
Image Annotation
Image annotation tools have become essential in developing high-quality datasets for machine learning and AI, enabling precise labeling of images for applications like computer vision and autonomous driving. Two prominent data annotation tools in this space, Unitlab Annotate and V7Labs Darwin, offer a variety of features tailored to different image annotation needs.
Have difficulty choosing which image annotation type is best for you? We got you covered.
Hojiakbar Barotov
Image Annotation | Unitlab Annotate
Here is an infographic that sums up features in short:
Unitlab
We are not here to call ourselves the top Data Annotation Platform or boast about others calling Unitlab the most flexible and sophisticated tool for annotating images. We believe in a fair comparison, so this comparison is a basis for further comparison for you before you try both platforms. Unitlab Annotate offers a generous free-tier, so you can start experimenting today.
Unitlab is a collaborative and AI-powered data annotation platform that accelerates data annotation by 15x and minimize costs by 5x using advanced auto-annotation tools and simplifying the data annotation workflows. Known for its robust feature set, Unitlab Annotate supports both basic and advanced annotation tasks, including AI-assisted image labeling and batch-auto image labeling for complex projects.
Also, Unitlab's interface for image annotators is simple and intuitive, and they can also customize their work station inside Unitlab.
Dynamic User Interface | Unitlab Annotate
Key Features:
- AI Assistant and GenAI for automatic image labeling, image captioning, and image OCR
- Batch Auto-labeling and Crop Auto-labeling to speed up the image labeling workflows
- Advanced annotation tools like Perfect-pixel segmentation, Brush Segmentation, and many others
- Bring Your Own (BYO) Models to enable users to integrate their own AI/ML models
- Labeling Service and Collaborative Annotation for outsourcing data annotation tasks and for real-time collaboration between team members
- Dataset Management with support for versioning, format conversion, and access control
- Unlimited Workspace and Projects to enable teams to scale as needed.
- Free 10K images per month to start projects without upfront cost
- On-premises Solution for enhanced security and control, ideal for enterprise needs
Pricing
- $0 in the Free plan (forever), $99/month in the Active plan, $195/month in the Pro plan and a custom plan for enterprises.
- Unlimited projects, unlimited workspaces
- 10K images / per month
Advantages
- Robust, comprehensive image labeling tools
- AI-powered batch- and crop- auto-labeling
- On-premises solution for businesses with special requirements
- Generous free-tier and four cost-effective plans for individuals, start-ups, and companies of any size
V7 Darwin
V7 Darwin, another popular alternative to Unitlab Annotate, provides a data annotation platform for workflows for data labeling and document automation. It has a strong emphasis on collaboration between humans and AI, trustworthy AI, and enterprise-level security.
Key Features
- AI Assistant and Labeling Service for efficient label generation
- Dataset Management with version control, format conversion, and access management
- Annotation History for tracking every annotation action
- Project Management supporting Unlimited Projects and Role-based Access
- Polygon Segmentation for precise object labeling
- Project and Member Statistics to monitor project progress and team productivity
Pricing
- $0 in the Free plan, $249/month in the Active plan, and a custom plan for large businesses
Advantages
- Strong emphasis on security and collaboration between AI and humans
- Custom workflows
- Suited for medical image annotations (FDA, CE Compliant, and HIPAA compliant)
Conclusion
Choosing between Unitlab Annotate and V7Labs Darwin largely depends on the specific needs of your project. Unitlab Annotate stands out with its extensive feature set, offering advanced options like Perfect-pixel segmentation and on-premises deployment. This makes it well-suited for complex, high-security applications and industries with strict data management requirements.
V7Labs Darwin, on the other hand, is ideal for teams focused on collaborative annotation projects and secure, law-complaint datasets, offering a powerful yet straightforward annotation solution.
As mentioned before, we highly recommend checking out both data annotation platforms before making a decision. Start exploring now.
