# Encord Encord helps AI teams label multimodal data, find gaps in datasets, and review model failures through automated and human review workflows. - Findings24: - Site: - Preços: Freemium - Categorias: Ferramentas Dev IA ## O que é Encord? Encord is a data platform for teams building and testing AI models. It combines annotation, dataset curation and model evaluation across images, video, audio, text and sensor data. Labeling tools and human review produce training labels, while curation and evaluation help teams find outliers, missing examples and model failures to address in later training. A typical workflow starts with registering cloud data, defining a labeling ontology and configuring annotation and review stages. Teams can use model predictions or AI-assisted tools to prepare labels, assign human reviewers, inspect results and export annotations. Encord also provides SDK access for data and label operations. It suits ongoing AI data operations where labeling rules, team coordination and feedback from model performance need to stay connected. ## O que Encord pode fazer? ### AI-assisted multimodal annotation Label images, video, audio and text with tools suited to each format. SAM 2 assists image segmentation and video object tracking; model predictions can also be imported. ### Configurable labeling and review Define nested labeling ontologies, assign roles and tasks, and use multi-stage human review. Dashboards track project progress and annotator performance. ### Dataset curation Use embedding-based search and model-in-the-loop curation to find rare cases and distribution gaps. Dataset tools also include filtering, outlier detection and duplicate-image detection. ### Model evaluation and alignment Review label and model errors, compare models, and organize rubric-based evaluation, pairwise comparison or RLHF workflows. ### Cloud and SDK data workflows Register files from cloud storage, import existing annotations and export labels through platform or SDK workflows. SDK access uses authentication keys. ## Casos de uso ### Prepare computer-vision training labels Set up image or video labeling rules, generate preliminary segments or tracks, and route annotations through human review before exporting labels for training. ### Find difficult examples for retraining Search production datasets for rare cases and inspect model failures, then curate examples that fill gaps in the next training dataset. ### Coordinate sensor-data annotation Organize labeling across multimodal inputs for robotics or vehicle-perception projects, using the appropriate sensor formats and review workflow for the selected package. ## Perguntas frequentes ### What data can Encord annotate? Encord supports images, video, audio, text, documents and specialized inputs such as medical images and 3D sensor data. Starter includes image and video annotation. DICOM and 3D/LiDAR are marked as add-ons in the plan comparison; confirm their availability in your package. ### Can AI replace human review? AI-assisted tools and imported model predictions can prepare labels. Encord also supports human review stages, role assignments and quality-control workflows, so teams can inspect and correct those labels. ### How do the plans differ? Starter targets individuals and small prototypes, with image/video tools, ontologies and workflows. Team adds data agents, performance analytics, model evaluation and onboarding. Enterprise adds multiple workspaces, SSO and enterprise support; its deployment options include VPC and on-premises configurations. Enterprise setup is arranged through sales. ### Can developers integrate Encord into a data pipeline? Yes. Its SDK supports registering cloud data and importing or exporting labels using access keys. Teams can combine these operations with platform-based annotation, curation and evaluation. ## Informações rápidas - **Primary users**: AI data teams, annotators and model developers - **Inputs**: Multimodal datasets; specialized formats depend on package and add-ons - **Outputs**: Training annotations, curated datasets and evaluation feedback - **Plans**: Starter, Team and Enterprise - **Integration**: Cloud data registration and authenticated SDK workflows