I will annotate bounding boxes for ai and machine learning datasets
About this Gig
I provide professional bounding box annotation services for AI, machine learning, and computer vision projects.
I also have experience in general image labeling, but this gig is strictly focused on bounding box annotation for object detection datasets. I have already completed large-scale datasets, including a personal project of over 100,000 annotated of car type, brand & models .
I use Label Studio and LabelImg, and I can annotate efficiently using either a graphic tablet or a mouse, ensuring high precision and consistency.
What I can handle:
- Bounding box annotation for any type of dataset
- Object detection datasets (YOLO, COCO, Pascal VOC formats)
- Large-scale image annotation projects
Annotation rules:
- I strictly follow client instructions
- If no instructions are provided, I label all clearly visible objects using bounding boxes (by default, I include everything relevant in the scene)
Example:
If the dataset is a car dataset, I will label the full car and all clearly visible parts within the image, including details such as antennas, open doors, mirrors, or other visible elements, unless the client specifies otherwise.
Technique:
Manual
Tagging type:
Image
FAQ
What tools do you use for bounding box annotation?
I useLabel Studio and LabelImg to ensure accurate and consistent bounding box labeling for AI and machine learning datasets.
Can the price be negotiated for large datasets?
Yes, the price can be slightly negotiable for very large datasets depending on the total number of images and the complexity of the annotation work.
How precise are your bounding boxes?
My bounding boxes are highly accurate with an estimated precision of ±1 to 4 pixels on the borders.
Do you handle all types of datasets?
Yes, I can work on all types of datasets, including non family-friendly content, as long as the project remains within legal and professional AI training use.

