AI and ML Network Services
Image Annotation Services
Professional image annotation services for AI teams. Bounding box, polygon, semantic segmentation, instance segmentation, mask annotation, and keypoint labeling with 99%+ accuracy and multi-layer QA.
AI and ML Network provides production-grade image annotation services for computer vision and machine learning teams. We handle the complete annotation workflow from raw images to model-ready labeled datasets.
Image Annotation Types We Deliver
Bounding Box Annotation
Precise 2D and 3D bounding box labeling for object detection models. We maintain tight box boundaries that minimize background inclusion, following strict annotation guidelines to maximize your model’s localization mAP.
Polygon Annotation
Pixel-accurate polygon masks that trace object contours precisely. Essential for tasks where object shape matters — autonomous driving, medical imaging, and manufacturing defect detection.
Semantic Segmentation
Full pixel-level classification where every pixel in the image is assigned a class label. Used for scene understanding, autonomous navigation, and medical image analysis.
Instance Segmentation
Individual object-level segmentation masks that distinguish between separate instances of the same class. Critical for counting, tracking, and robotics applications.
Keypoint Annotation
Precise landmark placement for pose estimation, facial recognition, gesture detection, and biomechanical analysis. We handle standard COCO 17-keypoint format and custom keypoint schemas.
Object Classification
Image-level class labeling for classification models. Includes multi-label classification, attribute tagging, and hierarchical category assignment.
Our Image Annotation Process
- Scope review — We analyze your dataset, class definitions, and delivery format requirements
- Guideline creation — We build or follow your annotation guidelines with visual reference examples
- Sample annotation — Free sample batch to validate quality and alignment before scaling
- Full annotation — Expert annotators label your dataset with strict guideline adherence
- Multi-layer QA — Inter-annotator agreement checks, reviewer validation, and automated format verification
- Delivery — Export in your required format with validation reports and class distribution analysis
Platforms We Work In
We annotate directly inside your preferred platform: CVAT, Roboflow, Supervisely, Label Studio, and Encord. If your data is already uploaded, we work in your environment — no data migration needed.
Why Teams Choose AI and ML Network for Image Annotation
- 99%+ accuracy guarantee with multi-layer QA
- Strict guideline adherence — we follow your rules, not our assumptions
- Fast turnaround with a scalable annotation team
- All major formats — COCO, YOLO, Pascal VOC, CSV, custom schemas
- Free sample batch — judge our quality before committing
If you need image annotation for your AI project, go to the Start Project page and send your requirements.
Frequently Asked Questions
What types of image annotation does AI and ML Network provide? +
We provide bounding box annotation (2D and 3D), polygon annotation, semantic segmentation, instance segmentation, mask annotation, keypoint annotation, and object classification labeling for computer vision and machine learning projects.
What accuracy level do you guarantee for image annotation? +
We guarantee 99%+ annotation accuracy through multi-layer quality assurance including guideline checks, reviewer validation, inter-annotator consistency checks, and final QA audits before delivery.
What formats do you deliver image annotations in? +
We deliver in all major formats including COCO JSON, YOLO TXT, Pascal VOC XML, CSV, and custom schema formats. We can also export directly from platforms like CVAT, Roboflow, and Label Studio.
How much does image annotation cost? +
Pricing depends on annotation type, complexity, volume, and turnaround requirements. Simple bounding box tasks start at $0.03-0.15 per box. Contact us with your dataset details for a custom quote.
Ready to Start?
Get a free sample batch to test our quality before committing.