I will data annotation, image annotation, data lableing for ai models
Research enthusiast
About this Gig
Stop Losing Model Accuracy to Bad LabelsGet High-Precision AI Data Here!
Struggling with low-accuracy predictions? Your model is only as powerful as the data feeding it! I provide elite-level data annotation and bounding box labeling so you can train high-performing AI models faster than ever.
Why Team Up With Me?
- 100% Accuracy-Driven: Every bounding box is tightly fitted and manually verified.
- Speed Meets Precision: Rapid delivery without cutting corners on quality control.
- Tailored to Your Workflow: I strictly follow your unique labeling instructions and schema.
Quick Heads Up: This gig is dedicated exclusively to Bounding Box Annotation. Need Polygons, Segmentation, or custom workflows? Message me before ordering and let's build a custom plan!
Technique:
Manual
Tagging type:
Text
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Image
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Video
FAQ
What file formats can you accept and deliver?
I work with standard image formats (JPEG, PNG, TIFF) and export annotations in whatever format your pipeline requires, including JSON, XML, CSV, YOLO format (.txt), Pascal VOC, or COCO.
How do you ensure annotation quality and accuracy?
Every dataset goes through a two-stage quality check: manual labeling following your specific edge-case guidelines, followed by a thorough review to ensure 100% boundary precision, correct class labeling, and zero missed objects.
This gig is for Bounding Boxes—what if I need Polygon or Segmentation labeling?
While this offer defaults to Bounding Box annotation, I fully support Polygon Annotation, Keypoint/Landmark labeling, and Semantic Segmentation. Please message me directly with your requirements so I can create a custom offer for you.
Can you follow my custom labeling guidelines and schema?
Yes. Before starting, I review your project documentation, edge-case rules, and class definitions to ensure complete alignment with your existing computer vision pipeline.
How do you handle dataset privacy and data security
Your data privacy is guaranteed. I never share, publish, or use your datasets for any other purpose outside your project, and I am open to signing a Non-Disclosure Agreement (NDA) if required.
Can I order a small test batch before committing to a large dataset?
Absolutely. I encourage running a small sample batch (e.g., 10–20 images) to verify label accuracy and confirm that the export format fits your training pipeline before scaling up

