Personal Image Classification Analysis

I have a private collection of images that I want to sort automatically, and I need your expertise to build and fine-tune an image-classification pipeline. The dataset is purely visual—no accompanying text or numerical metadata—so the focus is on extracting meaningful visual features and assigning each image to the correct category.

My end goal is straightforward: a reliable model that can classify every new photo I add, with clear metrics that show its accuracy. I haven’t fixed the exact number of categories yet; we can review the sample set together and decide what makes sense.

You are free to work in Python with libraries such as TensorFlow, Keras or PyTorch, and any supportive tools for preprocessing, augmentation, and evaluation. I’ll share the image folders via a cloud link once we start.

Please hand over:
• Clean, well-commented source code (notebook or script)
• The trained model weights or a reproducible training script
• A short report summarising accuracy, confusion matrix, and key insights

If everything runs smoothly on my machine and the results match the report, the project is complete.