I will custom image classification model using CNN, resnet or efficientnet for dataset
Experienced in ML, image classification, detection, CNN, ResNet, Pytorch, AI Mod
About this Gig
Are you looking to unlock hidden insights from your visual data? I will develop a high-accuracy, custom image classification model optimized specifically for your unique dataset. Using advanced convolutional neural networks (CNNs) and cutting-edge deep learning backbones like ResNet and EfficientNet, I deliver tailored solutions that extract maximum value from your images.
Whether you have a small, custom dataset or thousands of images, I handle everything from strategic data preprocessing and data augmentation to custom training loops and transfer learning. My focus is on delivering highly optimized weights and robust inference scripts with exceptional accuracy scores (F1-score, Precision, Recall).
What I offer: custom CNN architecture design, advanced transfer learning via state-of-the-art architectures, training and validation tracking, hyperparameter optimization, and export options (TensorFlow, PyTorch, ONNX). Let's collaborate to solve your complex vision challenges. Message me today to discuss your project requirements!
Programming language:
Python
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R
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MATLAB
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Colab
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MLflow
Other Data Science & ML Services I Offer
FAQ
What deep learning frameworks do you use?
I build using PyTorch and TensorFlow/Keras, depending on your existing infrastructure.
In what format will I receive the final model?
You will receive the trained model weights saved as .pth, .h5, or an optimized .onnx file ready for inference.
What if my dataset is very small?
I implement robust data augmentation strategies and transfer learning from pre-trained ResNet/EfficientNet weights to avoid overfitting.
