I will do accurate image annotation and data labeling using roboflow
About this Gig
High-Quality Image Annotation for AI & Machine Learning Models
Are you training a Computer Vision model (YOLOv8, R-CNN, SSD) and need high-precision data labeling? I provide pixel-perfect image annotation services using Roboflow to ensure your dataset is ready for training.
Inaccurate labels ruin AI models. I focus on tight bounding boxes and precise polygons to maximize your model's Mean Average Precision (mAP).
I specialize in:
- 2D Bounding Boxes: For object detection (Cars, Pedestrians, Products, etc.).
- Polygons / Segmentation: For irregular shapes requiring high precision.
- Keypoint Annotation: For pose estimation and facial landmarks.
- Roboflow Management: I can work directly in your Roboflow workspace to organize, augment, and version your dataset.
Supported Tools:
- Primary: Roboflow (Expert Level)
- Others: CVAT, LabelImg, LabelMe
Output Formats: I can export annotations in any format you need:
- YOLO (txt)
- COCO (json)
- Pascal VOC (xml)
Why choose this gig?
- 100% Manual Annotation: No automated errors.
- QA Checked: I review every image twice before delivery.
- Data Privacy: Your data remains confidential and is deleted after the project.
Technique:
Manual
Tagging type:
Image
•
Video
My Portfolio
FAQ
Can you work directly in my Roboflow workspace?
Yes! You can invite me to your Roboflow team, and I will annotate images directly inside your project for real-time updates.
What is the difference between Bounding Boxes and Polygons?
Bounding boxes are rectangular (faster, for general detection). Polygons trace the exact shape of the object (slower, for precise segmentation).
Do you provide data augmentation?
Yes, if we are using Roboflow, I can help you set up augmentation steps (blur, rotate, noise) to increase your dataset size.

