AI Image Recognition Computer Vision Solution

I’m building a computer-vision layer that can reliably recognise images and return structured results that the rest of my platform can consume. The core of the project is an AI-driven image-recognition model; I need someone who can take it from dataset preparation all the way to a callable endpoint.

Here’s what success looks like for me:
• A well-architected model (TensorFlow, PyTorch or comparable) trained on the dataset I’ll supply—or augmented with open-source sets you recommend—to reach an agreed accuracy threshold.
• Clean, readable Python code with clear comments and a short README so future team members can retrain or fine-tune the model.
• A lightweight API or Dockerised service that I can spin up on AWS/GCP and hit with a POST request containing an image, returning the recognised class labels in JSON.
• Brief hand-off session (video or written walkthrough) covering data pipeline, inference flow, and any performance-tuning levers.

If you have recent projects in image recognition or have pushed models to production before, I’d love to see them. Let’s discuss your approach, the metrics you aim for, and how quickly we can get a proof-of-concept running.