Delphi: Objects; Detected.
Object Detection on Apple Silicon
Delphi offers a complete toolchain-in-a-app that covers every stage of the object detection process, from creating precise bounding-box annotations, importing existing datasets, to generating custom datasets and training, testing and exporting models. This end-to-end solution simplifies deployment across various platforms, including web applications, edge devices, and mobile systems.
While Delphi allows for easy import of existing annotated datasets, it ensures that all data processing is done locally on your device, giving users full control over their data. This means that images, annotations, datasets, and even generated models are processed and stored only on your device, eliminating the risk of data breaches or unauthorized access. This feature is particularly valuable for projects involving personal or protected data.
Delphi, is specifically designed to leverage the power of M-series chips for training machine learning models, particularly for object detection tasks. This optimization ensures that users can train complex models faster, reduce latency, and deliver real-time AI solutions. Delphi provides a powerful toolset for unlocking the full potential of Apple Silicon in machine vision applications.
Delphi is designed to be a user-friendly, no-code solution for object detection and machine learning tasks. With Delphi, you can train models without writing a single line of code, making it accessible to users with varying levels of technical expertise. The app is optimized for M1 Macs for faster computations and improved performance. By eliminating the need for complex setup, expensive subscriptions or cloud storage, Delphi offers a flexible and cost-effective alternative for developers, researchers, and businesses looking to deploy object detection models quickly and efficiently.
Delphi provides a single app interface to achieve Tensorflow Object Detection API workflow on any Apple Silicon Mac, without the need to install any additional software, libraries or drivers.
Your privacy is important to us. This privacy policy explains that our app does not collect any personal data from users.
We do not collect any personal information from users of our app.
Since we do not collect any personal information, we do not use any personal data in any way.
Our app may store data locally on your device, such as images, annotations, datasets, and models. This data is stored locally on your device and is not transmitted to any external servers or third parties. You can find all local data stored can be found in
~/Downloads/obj-det
If you have any questions about this Privacy Policy, please contact us at contact@foxyninjastudios.com.
