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Fiverr Pro
English
$
USD
I will do image and video annotation for ai and machine learning
About this Gig
Hello!
I offer high-quality image and video annotation services for AI and machine learning projects. If you need accurate and consistent labeled data, Im here to help.
What I can do:
- Image annotation (bounding box, polygon, segmentation)
- Video annotation (frame-by-frame labeling)
- Object detection & tracking
- Keypoint annotation (pose estimation)
- Data labeling for AI training datasets
Tools I use:
- CVAT
- LabelImg
- Roboflow
- VGG Image Annotator (VIA)
Why choose me?
- High accuracy & attention to detail
- Fast delivery
- Consistent labeling following your guidelines
- 100% manual annotation (no automation errors)
- Flexible with custom instructions
Supported formats:
- YOLO
- COCO
- Pascal VOC
- CSV / JSON
I am committed to delivering clean, precise, and reliable annotations to improve your AI model performance.
Feel free to message me before ordering!
Technique:
Manual
Tagging type:
Image
•
Video
FAQ
What types of annotation do you provide?
I provide bounding box, polygon, segmentation, keypoint annotation, and video object tracking based on your requirements.
What tools do you use for annotation?
I use only CVAT
Do you support custom labeling instructions?
Yes! I strictly follow your guidelines to ensure consistency and accuracy. Please provide clear instructions before starting.
Can you handle large datasets?
Yes, I can handle large-scale annotation projects. Please contact me first to discuss timeline and pricing.
Do you offer video annotation services?
Yes, I provide frame-by-frame video annotation including object tracking and labeling.
How do you ensure annotation accuracy?
I manually review all annotations carefully and follow your instructions to maintain high accuracy and consistency.
Can you deliver the work urgently?
Yes, I offer fast delivery as an extra service. Please message me before ordering for urgent projects.
What do you need from me to get started?
Please provide: Images/videos Annotation instructions Label list Output format
