Unlock your Data's Potential with ML-Assisted Labeling and Data Annotation Tools
Our annotation platform leverages state-of-the-art foundation models like CLIP, OWL-VIT, and SAM to help you label your entire dataset with minimal human involvement. Whether you're working in Healthcare, Automotive, Retail, or Agriculture, our solution accelerates data annotation with AI and high-performance GPUs.
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Collaborative Labeling for Efficient Data Annotation
- Data labeling is a mentally exhaustive task, especially for large-scale datasets used in AI training and deep learning deployment.
- We support assigning multiple labelers, ensuring faster annotation workflows for applications like instance segmentation, detection, and classification.
Annotation Guideline and History Support for Better Data Management
- The challenges of data labeling become apparent when working with real-world datasets across various domains.
- Upload an annotation guideline that can be accessed by all labelers and reviewers, ensuring consistency for model selection and hyperparameter tuning.
- View how previous labelers labeled the current image for easy comparison, improving accuracy in annotation and data versioning tasks.
ML-Assisted Labeling using Foundation Models for AI-Powered Annotation
- Data labeling is time-consuming, but with AI-assisted annotation, entire datasets can be labeled with minimal human effort.
- Use foundation models for automated annotation, reducing manual work while ensuring high accuracy in segmentation and detection tasks.
Collaborative Reviewing for High-Quality Annotations
Enhance dataset quality through collaborative reviewing while leveraging cloud storage and on-demand compute for large-scale annotation projects.
Faster task completion with multiple reviewers, supporting real-time data versioning and annotation consistency.
Sample Issue Handling for Streamlined Annotation Processes
Easily track and manage sample issues for later discussion and cleaning, improving the overall efficiency of data annotation tools.
Ensure high-quality data for annotation workflows with support for automation and AI-assisted corrections.
