ANNOTATE
Achieve high-quality multimodal
data labeling 3x faster
Orchestrate AI-assisted Human-in-the-Loop workflows to accurately label and review images, videos, audio, text and DICOM data. Use Encord's data labeling tool to train and fine-tune production-grade AI applications at scale.
Powering the world's leading AI teams
Accurately label computer vision, audio, text and medical data
Multimodal data annotation in one view
Customize annotation layouts to enable any multimodal data labeling workflow. Leverage multimodal context to achieve high-quality training data at scale.
Combine human precision with AI-assisted image annotation
Label any image accurately using range of annotation tooling including bounding boxes, polylines, polygons, object primitives, keypoints and bitmasks. Use SAM 2 natively within Encord to accurately detect, segment and classify objects within images 10x faster.
Label videos 6x faster with video native annotation
Preserve temporal context and avoid frame synchronization issues by eliminating frame splitting with a video-native annotation platform. Automatically segment and track objects using SAM 2.
Label complex audio files using flexible ontologies
Use multi-channel annotation, nested ontologies and customizable attribute classes to label complex audio files with extreme precision down to the millisecond.
Boost medical data annotation accuracy
Streamline medical imaging AI workflows with 3D annotations for enhanced accuracy and multi-plane views for comprehensive annotation.
Label documents faster with multimodal context
Flexibly label text data using intuitive text highlight tooling as well as bounding boxes for multimodal content within documents and text files.
Natively render and label HTML webpages
Use intuitive text highlighting and file classification to label HTML files with ease.
3D scene visualization for multimodal point cloud, video and sensor data
Master complex 3D scenes with all sensors unified on a timeline for ADAS, autonomous vehicles and drone use cases. From raw sensor data, point clouds from LiDAR, and multiple camera angles, you can manage, search, curate, label your data and test models with ease.
Annotate ECG waveforms collaboratively
Accurately annotate rendered ECG with a PACS-style interface and use nested ontologies to capture detail.
Testimonial
What our clients say
Rammohan Adabala
Principal Product Manager at OnsiteIQ
"Setting up our labeling process with our previous solution took nearly two months and required extensive support. With Encord, we were operational in just two weeks, and then we went on vacation and got back, and the data was good."
Customize workflows to improve data labeling accuracy and throughput
Gain increased label quality with customizable workflows to orchestrate reviews throughout labeling pipelines. Effectively label the most complex scenarios with granular detail using nested ontologies and evaluate annotator performance with real-time analytics.
Use AI models for accelerated labeling process
Integrate SOTA AI models such as LLaMa 3.2, GPT-4o, Gemini 1.5 Flash, and your own machine learning models to automate data labeling pipelines.
Configure workflows for quality control
Ensure quality control throughout labeling pipelines with customizable data workflows and multi-stage reviews. Assign roles, labeling tasks, and manage project completion.
Explore dynamic performance analytics
Gain at-a-glance insights with built in analytics on label quality and annotator performance, and model performance, to optimize optimize for speed and accuracy.
Customize ontologies for every use case
Create multiple nested classifications with advanced labeling ontologies to establish accurate ground truth datasets.
Multimodal data labeling is the process of annotating various data types—including images, videos, audio, text, and medical data—within a single workflow to improve AI model training.
Encord leverages AI-assisted Human-in-the-Loop workflows, automation tools, and customizable annotation layouts to accelerate data labeling by up to 3x while ensuring high accuracy.
Encord serves industries such as healthcare, autonomous vehicles, security, robotics, insurance, finance, and AI research by providing high-quality training data for production-grade AI models.
Encord supports annotation for images, videos, audio, text, DICOM (medical imaging), HTML documents, and more.
Yes, Encord integrates with AI models like GPT-4o, LLaMa 3.2, and Gemini 1.5 Flash, as well as custom machine learning models, to automate and accelerate data labeling pipelines.
Yes, Encord offers fully customizable workflows with role-based access, task assignments, and workflow automation for increased labeling efficiency.
Integrations
Integrate with your toolstack
Connect your secure cloud storage, MLOps tools, and much more with dedicated integrations that slot seamlessly into your workflows.
security
Built with security in mind
Encord is SOC2, HIPAA, and GDPR compliant with robust security and encryption standards.
API/sdk
Programmatic access for developers
Leverage our API/SDK to programatically access projects, datasets & labels within the platform via API.
Forget fragmented workflows, annotation tools, and Notebooks for building AI applications. Encord's Data Development platform accelerates every step of taking your model into production.
