I will custom data annotation, segmentation masks, bounding boxes and video annotation
Data Annotation Expert ,Computer Vision, YOLO, CVAT, Roboflow
Level 2
Has met high performance criteria and has a proven track record for meeting client expectations.
About this Gig
Need clean, accurate training data for your AI or computer vision project?
I provide professional video annotation, image annotation, and data labeling for AI/ML models, with a strong focus on accuracy, consistency, and reliable delivery.
I can help with:
- Video object tracking & frame-by-frame annotation
- Object detection & bounding boxes
- Polygon & instance segmentation
- Image classification & tagging
- Keypoints and pose annotation
- Dataset QA and annotation review
- COCO, YOLO, JSON, and other formats
I work with tools including CVAT, Roboflow, Label Studio, and Labelbox, and can handle both small projects and high-volume datasets.
With 6+ years of annotation experience and a dedicated QA workflow, I help teams turn raw images and video into AI-ready training data with minimal supervision.
Have a project in mind? Send me your requirements and sample data for a quick assessment.
Technique:
Manual
Tagging type:
Text
•
Image
•
Video
My Portfolio
FAQ
Can we suggest our tools apart from the ones listed in your description?
Absolutely! We understand that your data annotation needs may require customized tools. That's why we offer the flexibility to suggest your own tools and the ones listed in our product description. We ca
How big is your team?
My team is enough (30 Annotators) to deliver your work within 24 hours and with 100% accuracy.
Can you do Dataset collection?
Yes, we do image collection, but the collection method should not be risky, like going around taking photos from private properties. If it is something we can take from online Google Street View, we are ready to go.
How safe is my dataset?
We ensure data safety by deleting all the data provided to us by our clients unless instructed to keep it. All credentials provided are cleared at the end of every project.

