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English
$
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I will train and fine tune image ai models for classification using deep learning
From Data to Deep Learning
I am an AI & Computer Vision expert specializing in custom model training on client data. I build, train, and optimize models for image classification, object detection, segmentation, and custom AI pi...
About this Gig
Looking for a pretrained deep learning or machine learning model fine-tuned on your custom dataset? I specialize in fine-tuning pretrained AI models for computer vision tasks including image classification, object detection, and image segmentation.
I fine-tune AI models using proven, state-of-the-art architectures such as YOLO, ResNet, EfficientNet, U-Net, and Faster R-CNN. Your pretrained model will be adapted to your dataset to deliver high accuracy, robustness, and real-world performancewithout building custom architectures from scratch.
What You'll Get
- Fine-tuned pretrained deep learning model on your dataset.
- Image classification, object detection, or segmentation model.
- Data preprocessing & data augmentation.
- Model evaluation (accuracy, precision, recall, F1-score).
- Deployment-ready model files (.pt, .h5, .onnx).
I work with small and large datasets and deliver production-ready fine-tuned AI models for medical imaging, e-commerce, manufacturing, and research.
Message me with your dataset details and lets fine-tune a pretrained AI model that solves your exact problem.
Programming Language:
Python
Data Type:
Images
AI Engine:
TensorFlow
•
PyTorch
FAQ
What types of tasks can you fine-tune models for?
I fine-tune pretrained models for: - Image classification - Object detection - Image segmentation All models are optimized for real-world computer vision applications.
Which pretrained models do you use?
I work with popular, industry-tested architectures such as: - YOLO (for object detection) - ResNet & EfficientNet (for image classification) - U-Net (for image segmentation) - Faster R-CNN (for advanced detection tasks) The best model is selected based on your dataset and use case.
Do you work with small datasets?
Yes. Fine-tuning pretrained models works well for both small and large datasets. If your dataset is small, I use data augmentation and transfer learning techniques to improve performance.
What do I need to provide to get started?
You’ll need to share: - Your dataset (images + labels) - Task type (classification, detection, or segmentation) - Any specific requirements or performance goals I’ll guide you if your dataset needs formatting or cleanup.
Which frameworks do you use?
I work with PyTorch, TensorFlow, and Keras, depending on your preference or project needs.
