Client scope · Custom AI Model
A computer-vision defect detector that runs offline
A model fine-tuned to flag anomalies in your imagery, wrapped in a simple upload, flag, review tool that runs offline on your own machine. Trained on open, licensed data, yours to own.
A real engagement I scoped and quoted for a client. Generalized here; the client stays private.
The problem
Off-the-shelf AI can't see your defects
Generic vision APIs don't know your specific hotspots, cracks, parts, or anomalies, the things only your team is trained to catch. And for a lot of operations, sending that imagery to a cloud service is a non-starter: privacy, cost, or the simple fact that it has to run offline in the field. You need a model trained on your problem, running on your hardware.
How it works
From licensed data to a tool you own, in four weeks
A proven vision model, fine-tuned to your defect types with transfer learning, not built from scratch, and not an expensive cloud service.
Data & setup
Assemble permissively-licensed datasets (or your own) and stand up the training pipeline.
Fine-tune
Train the detector to flag the specific anomalies that matter to you.
Validate
Measure detection on held-out images. You review the results, not a black box.
Build & handoff
Wrap it in an offline upload, flag, review tool. The model and code are yours.
Upload your imagery, the model flags what it found, and you confirm or dismiss each one.
Flagged (2)
Illustrative example, not actual model output. You review and confirm every flag.
What it delivers
A model, a tool, and the code, all yours
- A model fine-tuned to detect and classify your specific targets
- A simple tool: upload imagery, the model flags, you review and confirm
- Runs offline on your own machine, no internet, no per-image fees
- Trained only on permissively-licensed data, so nothing encumbers your tool
- The model, the app, and the full source code, yours to keep and extend
How it runs
The engagement
This is the Custom AI Model Sprint
A fine-tuned model and a working tool in four weeks, fixed price, trained on licensed data and yours to own. A later phase tunes it on your own captured imagery and hardens it for production.
Have a detection problem no API can solve?
Tell me what you need to spot in your imagery. I'll tell you whether a fine-tuned model can do it and what a four-week prototype looks like.
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