I will train a custom image classification, deep learning model
Machine Learning Engineer and Computer Vision Specialist
Acerca de este Servicio
Need an image classification model trained on your custom dataset?
I build and fine-tune deep learning models for image classification using PyTorch and TensorFlow, focusing on reliable evaluation and reproducible results.
What I offer:
- Custom image classification models
- CNN-based architectures
- ResNet and EfficientNet fine-tuning
- Transfer learning
- Dataset preprocessing and augmentation
- Hyperparameter optimization
- Training and validation
- Confusion matrix and classification reports
- Model export and inference scripts
Model evaluation includes:
- Accuracy
- Precision and Recall
- F1-score
- Confusion Matrix
- ROC-AUC (where applicable)
Deliverables:
- Trained model weights
- Complete Python training code
- Evaluation report
- Inference implementation
- Documentation
I select the architecture based on your dataset, computational resources, and target performance instead of blindly choosing the most complex model.
Send me your dataset details before ordering, and let's build the right classification solution.
Lenguaje de programación:
Python
•
SQL
•
Colab
•
Java
API:
Microsoft Computer Vision AI
Herramientas:
Jupyter Notebook
•
OpenNN
•
TensorFlow
•
Excel
•
CVAT
•
Colab
Marcos:
Scikit-learn
•
DeepPy
•
keras
•
PyTorch
•
Panda
•
TensorFlow
Mi porfolio
Otros servicios de Ciencia de datos y aprendizaje automático que ofrezco
FAQ
What image classification tasks do you support?
I support binary, multi-class, and custom image classification projects.
Can you train a model using my own dataset?
Yes, I can train or fine-tune deep learning models using your images.
Which deep learning architectures do you use?
I work with CNNs, ResNet, EfficientNet, MobileNet, and Vision Transformers.
Can you improve my existing model?
Yes, I can optimize preprocessing, training, hyperparameters, and model performance.
Will you provide the trained model and source code?
Yes, you'll receive trained weights, Python code, and evaluation results.

