I will develop a production ready computer vision model
About this Gig
Hi! I will design, train, evaluate, and package a custom computer vision model for your image or video use case.
I specialize in image classification and object detection solutions built with clean, maintainable Python code. Before development begins, I review your dataset, performance goals, and target deployment environment to define a realistic technical scope.
WHAT YOU GET :
- Custom image classification or object detection model
- Dataset validation, preprocessing, and augmentation pipeline
- Training and reproducible evaluation code
- Performance report with appropriate metrics
- Inference script for images, videos, or compatible streams
- Structured source code and setup documentation
- Optional API, Docker, ONNX, or hardware-specific optimization
SUITABLE USE CASES :
- Product and defect detection
- Visual inspection and quality control
- Custom object detection
- Image categorization
- Video analytics and automated monitoring
Segmentation, object tracking, OCR, edge-device deployment, and multi-camera systems require a custom quotation.
MY WORKFLOW :
Requirements Review ==> Dataset Assessment ==> Baseline Model ==> Training & Validation ==> Optimization ==>Documentation & Delivery
My Portfolio
Other Data Science & ML Services I Offer
FAQ
Which technologies do you use?
Depending on the project, I can use tools such as PyTorch, YOLO, OpenCV, ONNX, FastAPI, and Docker. The final stack is selected according to your data, latency requirements, and deployment environment.
Do I need to provide a dataset?
Usually, yes. A representative and correctly labeled dataset produces the most relevant results. I can assess your dataset and recommend public data sources, but data collection and annotation are separate services.
Can you guarantee a specific accuracy?
Not before evaluating the dataset. I will define suitable metrics and provide measured results on a separate validation or test set.
