Computer Vision App
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About this service
Summary
FAQs
What makes a vision system succeed?
The best vision systems are fast and accurate. For speed, you want to have adequate hardware to run your model on. For bigger models, you may not want to run in the browser but rather a dedicated device. For accuracy, you want to have ample training data (photos) to build a model from. So making a vision system to find Bigfoot or the Loch Ness monster may not be a good idea 🤠
What's included
Technical Design + Wireframes
✔ Project Requirements Doc: User-flows, integrations, deadlines ✔ Project Design Doc: Technical architecture, APIs, scaling ✔ Wireframes: Animated mockups with optional revisions
Model Training + Coding
✔ Training data gathered and annotated ✔ Repository built in source control of your choice ✔ All models committed, copyright and ownership transferred
Deployment
✔ User testing for tweaks and last minute features ✔ Deployed to Web, iOS App Store, and Google Play Store ✔ 60 days of monitoring and error handling
Example projects
Recommendations
(5.0)
Client • Oct 30, 2025
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Skills and tools
Software Engineer
AI Engineer
Fullstack Engineer
Python
PyTorch
TensorFlow
three.js
TypeScript
Industries