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Label large size of image datasets with automated workflow. Get high quality training data for computer vision use case.
Easily draw precise bounding boxes around objects in image & assign classes for accurate labeling.
Effortlessly classify individual images or entire datasets with accuracy and efficiency.
Easily assign multiple relevant labels to a single image for comprehensive annotation.
Automatically create precise object segments within images for accurate annotation.
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Draw precise boundaries around each object to label and analyze them individually.
Seamlessly combine instance and semantic segmentation to label all objects and regions within image.
Identify and annotate key points on objects to estimate their positions and movements with precision.
Accurately identify and annotate text within images by drawing bounding boxes and assigning relevant labels.
Faster annotation to images with cutting edge auto labeling and programatic labeling features
Leverage powerful open-source or custom pre-trained models to significantly accelerate and optimize image labeling
Discover How
Begin with manual ground truth creation, then let active learning refine models using perfectly annotated data
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Accelerate auto labeling using advanced foundation models like CLIP, SAM, DINO, and many others efficiently
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Build custom automated data workflows, collaborate in real-time, QA review, with complete visibility into your DataOps
Create and automate image labeling workflows to streamline the annotation projects. Add multiple users with multiple roles, multiple review cycle, build consensus with inter-annotator agreement, and annotation stages. Make your project manageable.
Get professional annotators and domain experts who care about quality and accuracy. We provide fully managed service, so that you can focus on other important aspects.
Manage image annotation ptoject with comprehensive dashboard to track progress and quality.
Track real-time metrics such as time per file, completed annotations, and annotator accuracy.
Boost accuracy with annotator consensus, model-assisted quality checks, and streamlined review workflows.
The image annotation tool streamlines data import and export processes, saving teams valuable time and effort.
Learn why image annotation and data labeling are essential for AI models. Discover how high-quality datasets improve computer vision accuracy and performance. We explain simple labeling techniques and show how Labellerr makes the process faster, easier, and more reliable. Learn how outsourcing your data labeling can save time and boost your AI projects.
Our tool included all the features required for managing image annotation project effectively. User management, data management, quality assurance, automation and automating data pipeline on multiple cloud storage platforms. Labellerr’s image annotation platform covers all.
Image annotation tools enhance AI model training by providing accurate, scalable annotations. They save time through automation features like AI-assisted labeling, reduce manual effort, and handle large datasets efficiently, making them essential for large-scale AI projects
Based on project requirements selecting the right image annotation platform is very crucial to save time and manage the budget. Selecting the right tool can help you save days and manpower while assuring the quality training data.
An image annotation tool simplifies managing and completing image labeling projects. Image annotation tool provide you capability to easily manage image labeling project by bringing human-in-the-loop and design custom workflow to ensure quality annotation on images. It gives the fexibility to chose from different type of annotation tasks like drawing bounding boxes, segmentation, polygon or polyline. Labellerr also provide high level of automation to complete the process 99X faster.
Image annotation is prerequisite to prepare your visual data for model training. It helps algorithm to identify the objects in the images or classify them based on the criteria. Using an image annotation tool, visual data can be prepared efficiently for model training.
Image annotation is very manual and time consuming task which requires multiple steps to ensure the quality. Managing the workforce, quality and speed become huge challenge for AI teams of all sizes. Labellerr helps to tackle these challenges with its Gen-AI based annotation tool. An image annotation tool can overcome challenges by automating processes and ensuring high-quality results.
Medical imaging comes mainly two format -2D and 3D image. Classification, detection and segmentation are the most common type of annotation that requires to build AI model for medical use cases.
An image annotation platform should support collaboration, model assisted labeling and QC workflow to ensure faster and accurate image labeling. A robust image annotation tool should include collaboration features and model-assisted labeling.
Labellerr uses best practices of data protection and privacy by implementing pseudonymization, redaction and masking based on PII. Enhanced authentication, IAM (Identity and access management) provided by third party cloud providers ensures data security and privacy. Our image annotation tool ensures data privacy with advanced security protocols.
We support all kind of image format.
By writing us at support@tensormatics.com to get instant remedy to queries (edited)
Tensor Matics Inc
44, Tehama St,
San Francisco, CA
USA 94107
Phone:+16283133187
Registered Office
651 N Broad St, Suite 201, Middletown, New Castle 19709 Delaware
Tensor Matics Pvt Ltd
SCO 224, Level 1 and 2, Sector 37 C, Chandigarh, 160036, India
Phone: +917565883102
