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.

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.

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.

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.

We support all kind of image format.

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