PalletML
Deploys TensorFlow image classification models to mobile apps, handles hosting and serving, and provides real-time predictions with on-device inference.
Pallet is a deployment platform that converts TensorFlow image classification models into shareable mobile apps, eliminating the need for hosting and boilerplate integration. It targets developers, data scientists, and hobbyists who want to quickly test and share their models in real-world scenarios. The service is delivered as a web console and mobile app, with on-device inference for privacy and zero latency, and offers a free tier with paid plans for more capacity.
Key features
- Upload TensorFlow Lite models
- Drag-and-drop deployment
- Automatic preprocessing pipeline
- Customizable preprocessing options
- Real-time predictions
- On-device inference
- Share models via link or QR code
- Model gallery with community models
- Compare state-of-the-art models
- Unlimited updates and users
- No social media activity within the last 30 days
GTM channels
- No GTM activity detected
ICP
- Software developers
- Data analytics teams
- Startups