I will annotate images with bounding box, polygon, keypoint, segmentation masks for ai
Python AI Developer, Computer Vision, OCR and Automation
About this Gig
Professional Image Annotation for Machine Learning
Need precisely labeled training data for your CV model? I provide comprehensive annotation services for all major ML architectures.
Complete Annotation Suite:
All Types:
- Bounding boxes for object detection
- Polygons for irregular shapes
- Keypoints for pose estimation (17-point COCO, 68-point facial, 21-point hands)
- Segmentation masks (instance & semantic)
- Multi-class & custom labeling
Perfect For: Fitness apps, healthcare, autonomous vehicles, AR/VR, retail, sports analysis, facial recognition, gesture tracking
Quality Assurance:
- Double-checked for accuracy
- Consistent labeling across dataset
- COCO, YOLO, Pascal VOC formats
- Detailed annotation report included
Tools: CVAT, Labelbox, Roboflow, LabelImg - industry-standard platforms ensuring professional results.
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ML Engineering Background: I understand model requirements and optimize annotations for your specific architecture (YOLO, Mask R-CNN, OpenPose, etc.)
Deliverables: Annotation files + visual verification images in your preferred format.
Let's build your training dataset!
Technique:
Manual
Tagging type:
Text
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Image
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Video
FAQ
What annotation types do you offer?
All major types: Bounding Box: Rectangular boxes (fastest) Polygon: Multi-point precise outlines Keypoint: Skeletal/landmark points (pose, face, hands) Segmentation Mask: Pixel-perfect boundaries
What's keypoint annotation used for?
Human pose estimation (fitness apps, sports analysis) Facial landmark detection (filters, emotion recognition) Hand gesture tracking (AR/VR, sign language) Object part detection (robot grasping points)
What keypoint schemas do you support?
Human Pose: COCO 17-point (standard), OpenPose 18-point, MPII 16-point Face: 5-point (eyes, nose, mouth), 68-point (full facial) Hands: 21-point per hand Custom: Define your own keypoint schema
Can I combine keypoints with segmentation masks?
Yes! Perfect for pose estimation models that need both person segmentation AND skeleton keypoints. Example: 50 images with person mask + 17-point pose per person.
Which annotation should I choose for my model?
YOLO, Faster R-CNN → Bounding boxes Mask R-CNN → Segmentation masks OpenPose, HRNet, MediaPipe → Keypoints DeepLab, U-Net → Segmentation masks Pose + Segmentation models → Keypoints + Masks
