Description
BIIGLE, the Bio-Image Indexing and Graphical Labelling Environment, is a web service designed for the efficient and rapid annotation of still images and videos. It provides a comprehensive suite of tools that enable users to annotate large collections of images and videos with an efficient workflow. These tools have been battle-tested by scientists globally, ensuring reliability and effectiveness.
One of the key features of BIIGLE is its ability to rapidly review and explore thousands of annotations for quality control or training purposes. The label review grid overview, known as Largo, is specifically designed to leverage human visual perception for optimal results. This feature is particularly beneficial for users who need to manage large volumes of annotations efficiently.
BIIGLE also accelerates image annotation through the use of computer vision technologies. Tools like MAIA and Magic SAM, which utilizes the Segment Anything Model, are integrated to help users tackle the growing volume of unannotated images. These AI-assisted annotation features significantly speed up the annotation process, allowing users to focus on more critical tasks.
Collaboration is another strong suit of BIIGLE. Users can invite colleagues to participate in annotation projects, create labels in hierarchical classification schemes, and share or version these labels. This collaborative environment is ideal for teams working on comparative studies or projects that require input from multiple users.
BIIGLE supports a wide range of annotation types, including points, rectangles, circles, lines, and polygons. For video annotations, users can create whole-frame annotations and timeline-based annotations that track objects across frames. This versatility makes BIIGLE suitable for various research and analysis needs.
The platform is open source under the GPL-3.0 license, allowing users to use the public BIIGLE instance for free or self-host their own instance. It also provides a comprehensive API for programmatic access to data and annotations, facilitating integration with analysis pipelines and custom workflows.
BIIGLE Image and Video Annotation's Core Features
Efficient image and video annotation
AI-assisted annotation tools
Collaborative project environment
Supports multiple annotation types
Open source under GPL-3.0 license
Comprehensive API for integration
Rapid review and exploration tools
Hierarchical classification schemes
How to use BIIGLE Image and Video Annotation?
Configure: Set up your annotation project
Use: Upload images or videos for annotation
Annotate: Utilize AI tools for efficient annotation
Collaborate: Invite team members to join projects
BIIGLE Image and Video Annotation's Use Cases
- Scientific Research
- Quality Control
- Collaborative Projects
- AI Training
- Custom Workflows
