I will do expert polygon image segmentation
AI Data Annotation Specialist
About this Gig
About This Gig
High-quality AI training requires extreme patience and precision. I provide professional polygon annotation and image segmentation services using CVAT to ensure your computer vision models reach maximum accuracy.
As a detail-oriented annotator, I take the time to fit complex, irregular edges perfectly without rushing the process.
Services I Offer:
- Precise Polygon Annotation for irregular objects
- Semantic and Instance Segmentation
- Bounding Boxes for object detection
- Line and Polyline tracking for lanes/tracking
Tools & Output Formats:
- Tool: CVAT (Computer Vision Annotation Tool)
- Formats: COCO JSON, YOLO Segmentation TXT, Pascal VOC XML
Why Work With Me?
- Exceptional Patience: I manually trace every point accurately, handling occlusion and overlapping objects with care.
- 100% Quality Assurance: Every image is double-checked before delivery to ensure zero pixel leakage.
- Reliable Communication: Fast updates and a commitment to meeting your exact project guidelines.
Please contact me before placing an order to share your dataset link and specific labeling guidelines!
Technique:
Manual
Tagging type:
Image
My Portfolio
FAQ
What specific annotation tools do you use?
I primarily use CVAT for precise polygon annotation and image labeling. However, I can also work on your team's self-hosted platform if provided with account access.
How do you handle complex or overlapping objects?
I approach complex datasets with extreme patience. I carefully trace each individual layer, manage occlusions according to your guidelines, and ensure zero pixel leakage between overlapping classes.
Can you handle large datasets with thousands of images?
Yes. For large projects, please message me first. We can start with a basic tier test order of 50 images so you can verify my quality, and then scale up via a custom offer.
Which output data formats can you deliver?
I can export and deliver your files in standard formats including COCO JSON, YOLO Segmentation text files, Pascal VOC XML, or CSV, depending on your machine learning model requirements.
