I will prepare yolo and labelme datasets for computer vision
Python AI Machine Learning Data and Research Support Specialist
About this Gig
I will help prepare YOLO or LabelMe datasets for computer vision and object detection projects.
I can help with:
- Image dataset organization
- Class label cleaning
- YOLO folder structure preparation
- LabelMe JSON checking and organization
- Train validation test split preparation
- Image annotation quality checking
- Dataset summary and class distribution report
- Preparing model-ready files for object detection workflows
This service is useful for AI, machine learning, computer vision, object detection, research, and academic projects.
Please contact me before placing an order so I can review your dataset size, annotation format, class names, and expected output format.
Technique:
Manual
Tagging type:
Image
My Portfolio
FAQ
Can you annotate images from scratch?
Yes, I can support image annotation depending on the number of images, number of classes, and annotation type. Please contact me first so I can review the dataset and give the correct package or custom offer.
Can you prepare a YOLO dataset?
Yes, I can organize images and labels into YOLO format, prepare train validation test folders, check class labels, and provide a clean dataset structure.
Can you work with LabelMe JSON files?
Yes, I can check, organize, and clean LabelMe JSON annotation files and help prepare them for computer vision workflows.
What do you need before starting?
I need your images, current annotation files if available, class names, required output format, and any labeling guidelines.
