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I will build a computer vision model for object detection or image classification using
AI ML Engineer
I build AI and ML solutions end to end, from problem definition to production deployment.
My work covers custom ML models, LLM-powered apps with RAG and multi-agent pipelines, data engineering at sca...
About this Gig
Got images that need to be understood automatically?
Whether you need to detect and locate objects in real time, classify images into categories, or count and track items in a visual feed, I build computer vision models that work on real data, not just benchmarks.
I use deep learning architectures including YOLO, ResNet, and EfficientNet with transfer learning so you get strong accuracy even with limited training data. I have built vision systems across retail, manufacturing, document, and general object recognition use cases.
What you get:
- Trained object detection or classification model
- Transfer learning from proven architectures
- Evaluation report with accuracy, precision, recall, and mAP
- Annotated output samples showing predictions on real images
- Clean Python code with documentation
- Optional API and deployment
Send me a few sample images before ordering and I will confirm what is achievable.
Expertise:
Image processing
•
Classification
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Object detection
Programming language:
Python
•
MLflow
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
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MLflow
•
Colab
•
PyTorch
Frameworks:
Scikit-learn
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Google ML Kit
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Keras
•
PyTorch
Other Data Science & ML Services I Offer
FAQ
What image formats do you accept?
JPG, PNG, TIFF, BMP, and most standard formats. If you have video and need frame level detection I can handle that too.
Do I need to provide labelled data? .
For object detection yes, images need bounding box annotations. If your data is not labelled I can guide you on the best free annotation tools and what format to use
How many images do I need?
With transfer learning, a few hundred images per class is often enough for good results. I will tell you honestly if your dataset needs more data before training.
Will the model run on my hardware?
Depends on your setup. I can optimize the model using quantization or ONNX export so it runs efficiently on CPU if you do not have a GPU available.
Can you detect multiple object types at once?
Yes. Multi-class detection and classification are fully supported. Just tell me all the categories you need during the requirements stage.
