I will create and annotate yolo object detection datasets
Data Analyst, Computer Vision, YOLO Dataset Specialist
About this Gig
I will manually create clean, accurate, and YOLO-ready object detection datasets for your computer vision projects.
This gig is ideal for researchers, startups, and developers who need reliable image annotations for training YOLO models.
What I provide:
- Manual image annotation using LabelImg
- YOLO format labels (v5v11 compatible)
- Clear bounding boxes with consistent class labeling
- Organized dataset structure (images & labels)
- Dataset validation based on selected package
- Optional sample annotated previews
I have hands-on experience creating production-ready YOLO datasets, including person and vehicle detection projects with proper validation and documentation.
Please contact me before ordering if you have custom requirements or a large dataset.
Technique:
Manual
Tagging type:
Image
My Portfolio
FAQ
What annotation format do you provide?
I provide YOLO format annotations with normalized bounding box coordinates and .txt label files.
Which YOLO versions are supported?
The dataset is compatible with YOLO v5, v8, v9, v10, and v11.
How do I send you my images?
You can upload your images directly through Fiverr or share a download link after ordering.
Do you offer manual or automatic annotation?
All annotations are done manually to ensure high accuracy and consistency.
Can you handle multiple classes?
Yes. The number of supported classes depends on the selected package or extra services.
Do you provide dataset validation?
Standard and Premium packages include validation checks such as image-label matching and class verification.
Can you annotate more images than listed in packages?
Yes. You can select the “Additional Items Tagged” extra for larger datasets.
Should I contact you before placing an order?
Yes, especially for large datasets or custom requirements, to confirm scope and delivery time.

