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I will do precise image annotation and data labeling for yolo, coco, voc
About this Gig
Training a YOLO or Object Detection model but not getting good accuracy?
Bad annotation = bad mAP.
I provide precise, 100% manual image annotation to help you train high-accuracy ML models.
I am a Computer Science student and ML enthusiast with hands-on experience training YOLO v8 / v10 models, so I understand how small labeling mistakes affect model performance.
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WHAT I OFFER
- 2D Bounding Boxes for Object Detection (YOLO, SSD, Faster R-CNN)
- Polygon Annotation (Image Segmentation)
- Format Conversion (YOLO, COCO, Pascal VOC)
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WHY CHOOSE ME
- 100% manual, tight annotations (no auto-labeling)
- Strong understanding of object detection & mAP
- Dataset privacy guaranteed
- Clean and well-structured outputs
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TOOLS & FORMATS
Tools: LabelImg, CVAT, Roboflow, LabelMe
Formats: YOLO (.txt), COCO (.json), Pascal VOC (.xml)
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NOTE:
Pricing is based on the total number of objects (bounding boxes), not images.
Message me before ordering and Ill suggest the best format for your model.
Technique:
Manual
Tagging type:
Text
•
Image
FAQ
Do you use auto-labeling tools?
No. All annotations are done manually to ensure tight and accurate labels for better model performance.
Is my dataset safe?
Yes. Your data remains 100% confidential and is never shared or reused.
What if one image has multiple objects?
Pricing is based on the total number of objects (bounding boxes), not images. One image can contain multiple objects.
Can you convert formats?
Yes. I can convert between YOLO, COCO, and Pascal VOC formats.
Which format should I choose?
Message me before ordering and I will recommend the best format for your model.

