Image & Video Data Annotation Service
Our experienced annotation experts deliver the finely annotated image & video datasets needed to develop sophisticated computer vision capabilities and robust perception algorithms. Whether you need bounding boxes for detection, segmented masks, or skeletons traced for complex pose analysis, our team ensures accurate, high-quality annotations tailored to your project's unique requirements.
Proprietary Data Annotation Platform
BasicAI Cloud, an AI-powered data annotation platform, provides smart tools for image & video data labeling. It enables our annotation experts to efficiently collaborate on large-scale annotation workflows while maintaining label quality and consistency.
AI-Powered Annotation Toolset
Auto Annotation, Segmentation and Object Tracking
Auto Ground Detection
AI-assisted Annotation
Online Calibration
Quality Assurance
Configurable QA Rules
Real-time Quality Check
Batch Quality Check
Consecutive Frames Review
Scalability
Large Project Support
Cloud Storage and Online Import / Export
Workflow & Performance Management
Roles & Priviledges Management
Quality Assurance
We implement rigorous quality assurance processes to deliver consistently accurate annotations. Our quality commitment ensures high-quality data for your AI initiatives.
Automated
QA Workflow
Our AI-powered platform checks annotations against customized quality criteria in real-time, catching errors early and reducing costly rework.
Dedicated Project Manager
We assign a dedicated project manager to oversee each project, taking care of the quality and coordinating with our global data annotation team.
Strict Vendor Training & Test
We train annotation teams extensively on your annotation guidelines and quality standards, auditing skills before project assignment.
Quality
Evaluation
As part of the project overview, our system provides real-time quality reports as feedback for annotators, keeping quality standards high at all times.
Facial Recognition
Facial recognition systems enable accurate person identification and authentication for security and access control applications. By learning from annotated datasets with face bounding boxes, keypoints, and segmented masks, the AI model can reliably pick out and analyze facial features to identify individuals, despite variations in lighting, pose, expression and age.
Bounding boxes around faces in images to detect and extract faces.
Facial keypoints to map facial geometry.
Segmentation maps highlighting hair, facial features, accessories.
Head pose angles and eye gazes annotated for pose normalization.
Medical Imaging Analysis
In medical imaging, X-rays, MRIs and CT scans are analyzed with AI to improve diagnosis and treatment planning. Annotated scans enable models to accurately identify anatomy and pathology. By learning from datasets with organ bounding boxes, segmented masks, and labeled abnormalities, the AI model can parse complex scans and assist doctors by surfacing clinically relevant insights.
Bounding boxes around organs, bones, and anatomy.
Segmentation of anatomical structures and tissues.
Annotation of tumors, fractures, lesions for detection.
Polylines to measure organ/tumor size and growth.
Classification of imaging signs and diagnostic criteria.
Smart Retail
Smart retail systems help stores improve layouts, promotions, and operations. Annotated in-store video allows AI models to gather customer insight and convert it into business value. By learning from shopper patterns, dwell times, checkout flows, and shelf interactions annotated in videos, the AI model can provide retailers valuable analytics on in-store shopping habits and purchasing behavior.
Shopper tracking with bounding boxes around people.
Annotating shopper interactions with displays and products.
Mapping customer journeys through the store.
Labeling checkout queue lengths and wait times.
