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$
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I will do image polygon annotation and segmentation for ai training datasets
About this Gig
Are you looking for precise image polygon annotation for your AI or computer vision project?
I specialize in high-accuracy polygon segmentation to create clean masks for machine learning and deep learning models.
With 4+ years of experience in data annotation and quality control, I ensure:
- Accurate polygon drawing around objects
- Tight and clean segmentation masks
- Correct object classes
- Consistent labeling across the dataset
- 100% quality checked annotations
I can annotate:
- Instance Segmentation
- Semantic Segmentation
- Object Masking
- Irregular Shape Objects
- Complex & Overlapping Objects
Tools I use: Roboflow, CVAT, Labelbox, Supervisely, V7 Darwin, AWS SageMaker
Output formats available: COCO, YOLO, Pascal VOC, JSON, PNG Mask
- Fast delivery
- High precision guaranteed
- Large datasets supported
Message me before placing your order to discuss your dataset.
Technique:
Manual
Tagging type:
Text
•
Image
•
Video
My Portfolio
FAQ
Q: What types of annotations do you provide?
I provide polygon segmentation, bounding boxes, object labeling, and instance segmentation for AI/ML datasets.
Q: Which tools do you use for annotation?
A: I mainly use Roboflow, Labelbox, V7, and other industry-standard tools.
Q: Can you work with custom classes?
A: Yes, I can annotate any class you provide—objects, faces, smoke, products, and more.
Q: Can you handle large datasets?
A: Yes, I can work on small, medium, and large datasets with high accuracy and on-time delivery.
Q: Do you provide sample work before starting?
A: Yes, I can annotate 1–2 sample images so you can check my quality.
Q: What annotation formats do you deliver?
A: COCO JSON, YOLO, Pascal VOC, PNG masks, or any format you require.
Q: Do you offer revisions?
A: Yes, all packages include revisions to ensure your dataset is perfect.
