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English
$
USD
I will train and optimize a custom object detection model
About this Gig
Looking for a high-performance, private, and local Object Detection solution?
You are in the right place.
Many computer vision solutions rely on expensive cloud APIs or bloated architectures that cause massive latency. I specialize in training and optimizing lightweight, production-ready Object Detection models designed to run locally on hardware with restricted resources.
With real-world experience integrating real-time Computer Vision models into production and industrial environments, I deliver highly optimized weights and clean, documented Python code.
️ What I Offer:
- Custom Object Detection Training: Training state-of-the-art architectures (like YOLO variants) tailored to recognize your specific custom objects.
- Dataset Preprocessing & Augmentation: Cleaning, structuring, and expanding your image data to achieve maximum precision.
- Format Optimization & Quantization: Converting and optimizing models to ONNX or TensorRT for fast local inference.
Expertise:
Feature learning
•
Classification
•
Object detection
Programming language:
Python
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Colab
•
PyTorch
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Other
Other Data Science & ML Services I Offer
FAQ
What deep learning architectures do you typically use for object detection?
I train and optimize lightweight models for local deployment. I use YOLO (v8/v10) and ultra-lightweight NanoDet, perfect for constrained Edge hardware. Based on your dataset and hardware targets, I will select and fine-tune the best custom architecture for your project.
