You will get Accurate Image & Video Annotation For AI Model Training


Project details
I deliver accurate, consistent image and video annotation for computer vision projects. With strong attention to detail, strict quality checks, and support for industry-standard formats such as YOLO, COCO, Pascal VOC, or any custom format, I help clients build reliable AI models faster. My focus is precision, scalability, and long-term collaboration.
Machine Learning Tools
MLflow, NumPy, NVIDIA AI Platform, OpenCV, Python, PyTorch, TensorFlowWhat's included
| Service Tiers |
Starter
$5
|
Standard
$15
|
Advanced
$25
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Number of Model Variations | 3 | 4 | 6 |
Number of Scenarios | 2 | 3 | 4 |
Number of Graphs/Charts | 2 | 3 | 3 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$5 - $10
Additional Model Variation
+$3
Additional Scenario
(+ 1 Day)
+$5
Additional Graph/Chart
(+ 1 Day)
+$5
Data Source Connectivity
+$5
Source Code
+$5Frequently asked questions
About Chamuditha
Computer Vision & AI Training Specialist (Industrial Inspection)
Hettipola, Sri Lanka - 10:32 pm local time
I work best on projects that require precision, consistency, and technical understanding, such as pixel-level segmentation, bounding box annotation, and quality review of labeled data. In addition to visual data tasks, I also contribute to technical LLM evaluation and data review, especially for engineering and technology-related content where factual accuracy and clarity are critical.
My strengths include:
Industrial image segmentation and defect annotation
High-attention data labeling and quality assurance
Understanding of electronics, embedded systems, and edge-AI constraints
Clear communication and strict adherence to annotation guidelines
I am detail-oriented, reliable, and committed to delivering datasets that directly improve model performance. I am comfortable learning new tools quickly and adapting to project-specific workflows, making me a dependable contributor to AI training and evaluation projects.
Steps for completing your project
After purchasing the project, send requirements so Chamuditha can start the project.
Delivery time starts when Chamuditha receives requirements from you.
Chamuditha works on your project following the steps below.
Revisions may occur after the delivery date.
Review client-provided data, guidelines, and labeling requirements.
Set up annotation project in the chosen tool or platform.








