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English
$
USD
I will train a deep learning model for your image classification task
About this Gig
Hi, I'm Ada a clinical AI researcher and Python developer with 3+ years of professional experience and a deployed deep learning system built on real patient data (Springer-published research, 2022).
I'll train a deep learning model on your image dataset and deliver a clean, documented solution you can actually use not a black box.
WHAT I OFFER:
Image classification (binary or multi-class)
Transfer learning with pretrained CNNs (ResNet, VGG, EfficientNet)
Data preprocessing and augmentation
Hyperparameter tuning
Full evaluation (accuracy, precision, recall, F1, confusion matrix)
Trained model exported in PyTorch or ONNX
Inference scripts ready to use
Documented Jupyter notebooks you can re-run
REAL EXPERIENCE:
I built and deployed a clinical AI system for dementia detection using VGG-19 transfer learning on around 7,000 real patient samples handling preprocessing through ONNX export and C# mobile deployment.
WHO IT'S FOR:
- Researchers training models for papers or theses
- Startups building computer vision MVPs
- Students with capstone projects
- Anyone with labeled images and a classification problem
Message me before ordering to confirm scope.
Programming language:
Python
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
APIs:
Other
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Colab
•
RStudio
FAQ
Q1: What format should my dataset be in?
A: Image folders organized by class (one folder per class) is easiest. CSV with image paths and labels also works. I can handle JPG, PNG, and most common formats.
Q2: What if my dataset is too small?
A: With transfer learning, even 100-200 images per class can produce useful results. I'll be honest with you upfront about realistic expectations for your dataset size.
Q3: Do you provide the trained model file?
A: Yes — every order includes the trained model in PyTorch (.pt) format. Premium tier also includes ONNX export for cross-platform deployment.
Q4: Can you handle medical or sensitive image data?
A: Yes — I have direct experience with clinical image data and treat all client data confidentially. I delete data within 7 days of project completion unless requested otherwise.
Q5: What if the model doesn't achieve the accuracy I need?
A: Each package includes revisions, and I'll be transparent about what's achievable with your dataset. If results are below expectations due to dataset limitations, I'll explain why and suggest concrete improvements.
