I will do expert image data annotation for computer vision in roboflow
About this Gig
High quality data is the lifeblood of any Computer Vision model. Poor annotations lead to poor model convergence. Stop settling for basic data entry workers and let a Computer Vision Engineer handle your dataset.
Why I am different:
I am not just an annotator; I hold Summa Cum Laude degree in Informatics with a deep specialization in Computer Vision and Deep Learning. I have hands-on research experience building complex hybrid models for medical imaging. I understand exactly how neural networks process bounding boxes and polygons, meaning I label your data with model accuracy in mind, avoiding common pitfalls like tight-box clipping or class imbalance.
What I offer using Roboflow:
- Bounding Boxes: Highly accurate right boxes for Object Detection.
- Polygons / semantic segmentation: Precise pixel-level tracing for complex shapes.
- Image Classification: Accurate categorization for single or multi label datasets.
Export Formats Included:
YOLO (v5, v7, v8), COCO, Pascal VOC, TFRecord, CrateML, and more.
Please contact me before placing an order to discuss your dataset size, classes, and specific labeling rules.
Technique:
Manual
Tagging type:
Text
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Image
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Video
My Portfolio
FAQ
Why should I hire a Computer Vision Engineer for data annotation?
Because I understand the "why" behind the labeling. I know how imprecise bounding boxes confuse the loss function during model training. I ensure the annotations are optimized for AI model ingestion, not just visually drawn.
Do you have experience with medical or complex datasets?
Yes. My academic research heavily involved multiclass skin lesion classification and complex visual data. I am highly meticulous when it comes to identifying subtle features in complex datasets.
Can you work with platforms other than Roboflow?
Roboflow is my primary tool due to its excellent export pipeline, but I am also fully proficient in CVAT, LabelImg, Label Studio, and MakeSense.ai. Just let me know your preferred platform.
How do you ensure data privacy?
I treat all client datasets with strict confidentiality. Your data will only be used for the purpose of annotation and will be permanently deleted from my local drives upon project completion.

