Professional image labeling services with pixel-perfect accuracy. From bounding boxes to semantic segmentation, we deliver the high-quality training data your machine learning models demand.
Annotation Capabilities
We support all major image annotation types with pixel-perfect precision for your AI training needs
Draw precise rectangular boxes around objects of interest. Perfect for object detection models like YOLO and Faster R-CNN.
Pixel-level classification for every element in your image. Ideal for autonomous driving and medical imaging applications.
Mark specific points of interest on images for pose estimation and facial landmark detection.
Trace irregular shapes with precision using polygon tools for objects that don’t fit standard bounding boxes.
Annotate objects in 3D space with cuboid boxes for depth perception and spatial understanding.
Label entire images with categories and tags for classification and content moderation tasks.
Our Process
A streamlined workflow that ensures quality, speed, and accuracy for your image datasets
STEP 1
Securely upload your image datasets through our platform or API
STEP 2
Specify annotation types, labels, and quality requirements
STEP 3
Our trained annotators label your images with precision
STEP 4
Multi-layer quality checks before delivering labeled data
Our image annotation services power computer vision models worldwide
Images annotated
Accuracy guarantee
Average turnaround
AI companies served
Use Cases
Powering computer vision applications in diverse industries worldwide
Road scene understanding
Medical image analysis
Product categorization
Surveillance systems
Quality inspection
Property analysis
Crop monitoring
Geospatial analysis
Get started with professional image annotation services. Fast delivery, enterprise security, and guaranteed accuracy.
Common questions about our image annotation services
We support all major image formats including JPG, PNG, TIFF, BMP, WebP, and RAW camera formats. We can also work with DICOM for medical imaging.
We guarantee 99.9% accuracy through our multi-layer QA process. Every annotation is reviewed by at least two annotators and verified by a quality specialist.
For standard bounding box annotation, typical turnaround is 24-48 hours. Complex segmentation tasks take 2-5 days depending on image complexity and dataset size.
Yes, we regularly handle projects with millions of images. Our largest completed project involved annotating over 10 million images for an autonomous vehicle company.
We export to all major ML frameworks: COCO JSON, Pascal VOC XML, YOLO TXT, TFRecord, and custom JSON formats. API integration is also available.
Absolutely. We work with you to define custom label sets, hierarchical taxonomies, and domain-specific attributes for your use case.
