You will get AI Image & Video Data Labeling for CV/ML Projects
Project details
I offer professional image and video annotation services for AI and computer vision projects. With over 3 years of experience in dataset creation, segmentation, and quality assurance, I ensure high-precision labelling tailored to your model’s needs.
Whether you need bounding boxes, polygons, keypoints, or masks, I provide accurate annotations and structured exports (COCO, YOLO, Pascal VOC, JSON, or custom format).
My background in biomedical engineering allows me to handle complex datasets, including medical imaging, thermal data, and 3D scans, with full attention to data integrity and consistency.
You’ll get clean, verified, and model-ready data for fast and reliable training of your CV/ML models.
Whether you need bounding boxes, polygons, keypoints, or masks, I provide accurate annotations and structured exports (COCO, YOLO, Pascal VOC, JSON, or custom format).
My background in biomedical engineering allows me to handle complex datasets, including medical imaging, thermal data, and 3D scans, with full attention to data integrity and consistency.
You’ll get clean, verified, and model-ready data for fast and reliable training of your CV/ML models.
Machine Learning Tools
deeplearn.js, Keras, OpenCV, Python, PyTorch, TensorFlowWhat's included
| Service Tiers |
Starter
$15
|
Standard
$35
|
Advanced
$70
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $35
Additional Revision
+$5
Model Documentation
(+ 1 Day)
+$10
Data Source Connectivity
+$10Frequently asked questions
About Bohdan
ML & CV Data Labeling Expert | Biomedical Engineer | Medical Data
Sofiivska Borschahivka, Ukraine - 1:51 am local time
Key skills & experience:
- 3+ years in dataset creation, annotation workflows, and quality assurance.
- Led teams of 5–10 specialists in large-scale annotation projects for AI.
- Hands-on experience with image segmentation, bounding boxes, keypoints, and custom labeling tools.
- Strong knowledge of AI pipelines, from raw data collection to model training and evaluation.
- Familiar with Python and deep learning frameworks (TensorFlow, PyTorch) for building and testing annotation-driven models.
- Currently pursuing a PhD in Biomedical Engineering focused on AI-based image analysis.
I help clients build clean, reliable, and production-ready datasets, ensuring efficiency, consistency, and scalability.
Steps for completing your project
After purchasing the project, send requirements so Bohdan can start the project.
Delivery time starts when Bohdan receives requirements from you.
Bohdan works on your project following the steps below.
Revisions may occur after the delivery date.
Task Review and Setup
I review your dataset, confirm the labelling requirements, and prepare the environment for annotation.
Annotation and QA
I perform precise labelling (boxes, polygons, or masks), review for quality assurance, and adjust based on feedback.