I will a custom image classification model in python
About this Gig
Need to automate image recognition? I'll build a custom deep learning classifier for your dataset clean, documented, ready to use.
I'm an ML Engineer with hands-on experience in computer vision. My portfolio includes FloraScan, a real-time image classifier with explainability features built with TensorFlow, FastAPI and Streamlit.
WHAT I CAN CLASSIFY
Products, medical images, agricultural conditions, documents, or any custom dataset you provide.
ALL PACKAGES INCLUDE
Trained model file (.h5 or SavedModel)
Python source code, fully documented
Training report with accuracy and loss curves Instructions to run locally
PRO AND PREMIUM ALSO INCLUDE
REST API (FastAPI) to call the model from any app
Web interface (Streamlit) to upload images and get results
Visual explainability with Grad-CAM heatmaps
Message me before ordering with what you want to classify and whether you have a dataset ready. I'll tell you honestly which package fits.
Programming language:
Python
•
R
•
SQL
•
Colab
•
NoSQL
Frameworks:
Scikit-learn
•
PyTorch
•
Panda
APIs:
Google Cloud Vision API
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Excel
•
Colab
My Portfolio
FAQ
Do I need to provide the dataset?
For Basic and Standard, yes. For Premium I can help you source or build one. Minimum ~100 images per class recommended for decent results.
What if my dataset is small?
I use transfer learning and data augmentation to maximize accuracy even with limited data. Message me with your numbers and I'll advise.
What format will the code be delivered in?
A GitHub repo link or ZIP file with a README, training script, inference script, and the saved model.
Can you deploy it to the cloud?
Not included in these packages but available as an add-on. Message me.
What tech stack do you use?
Python, TensorFlow/Keras, FastAPI, Streamlit, OpenCV, NumPy, scikit-learn.

