High-quality labeled data is the foundation of any powerful AI model. At Datraxa, we provide precise, scalable, and domain-specific annotation services that enable computer vision systems to perform with maximum accuracy.
Empower Your AI with Expert-Level Annotations
Whether you’re training an object detection model, building autonomous systems, or working on facial recognition, the quality of your dataset determines your results. Our annotation experts and computer vision engineers collaborate to deliver pixel-perfect datasets tailored to your project goals.
We support a wide range of formats, data types, and industry-specific labeling requirements—helping AI systems understand the visual world just like a human would.
What We Offer
Image & Video Annotation
We annotate large volumes of visual data using tools like CVAT, Supervise.ly, and custom interfaces. Supported annotation types include:
- Bounding boxes
- Polygons
- Landmarks / keypoints
- Semantic segmentation
- Instance segmentation
- 3D cuboids
- Frame-by-frame video labeling
Text & OCR Annotation
For visual text recognition tasks, we label:
- Text in natural scenes (e.g., signboards, receipts)
- OCR regions in scanned documents
- Classification of fonts, styles, or positioning
Classification & Object Tagging
We categorize visual content for machine learning models, including:
- Product categorization
- Scene classification
- Object presence/absence
- Emotion detection in images
Industries We Serve
- Autonomous Vehicles: Road marking, lane detection, vehicle tracking
- Healthcare: Medical imaging, X-ray, CT-scan annotations
- Retail & eCommerce: Product tagging, shelf monitoring
- Agriculture: Crop health, pest detection, yield estimation
- Security & Surveillance: Intrusion detection, people counting
- Robotics: Object identification, spatial mapping
Tools & Formats We Support
- Annotation Tools: CVAT, Supervise.ly, Labelbox, VoTT
- Formats: XML, JSON, COCO, YOLO, CSV, Mask PNGs
- Custom Integrations: REST API delivery, cloud sync, automated versioning
Our Process
- Dataset Understanding: We assess your labeling goals and model requirements.
- Pilot Task: A short test annotation to match your quality standards.
- Annotation at Scale: Secure, accurate, and fast labeling across thousands of assets.
- Quality Review: Multi-layered QC with manual and AI-powered checks.
- Delivery: Clean dataset in the required format, ready for model training.
Why Datraxa?
- Experienced annotators trained on domain-specific requirements
- Custom workflow pipelines for enterprise projects
- NDA-backed privacy and data security
- Fully managed service with communication transparency
- On-demand scalability with quick turnaround
Let’s Label Your Future
Need high-quality annotations for your AI models?
Contact Datraxa today to get started with a tailored annotation pipeline that fuels better computer vision outcomes.