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2024-12-06
Intel Geti is a groundbreaking software designed to streamline the development of computer vision models. By significantly reducing the time and data required for training, Intel Geti empowers teams to build custom AI models at scale.
Key Features of Intel Geti
Smart Annotations: Accelerate data labeling and training with intelligent annotation tools.
Active Learning: Build effective models with less data by prioritizing the most informative samples.
SDK Support for REST API: Simplify and automate the development pipeline.
Task Chaining: Combine multiple computer vision tasks to solve complex problems.
Built-in Optimizations: Output production-ready models for the OpenVINO toolkit.
The Intel Geti Workflow
1. Label: Expedite data labeling with smart annotations.
2. Train: Achieve a working model with less data through active learning.
3. Optimize: Optimize and quantize vision models automatically.
4. Export: Output production-ready models for deployment.
5. Retrain: Enhance existing models by training with new data.
What Undercode Says:
Intel Geti represents a significant advancement in the field of computer vision. By automating many of the tedious and time-consuming tasks associated with model development, it allows developers to focus on innovation rather than infrastructure.
The active learning feature is particularly noteworthy, as it can significantly reduce the amount of labeled data required to train a high-performing model. This is crucial for many real-world applications where obtaining large amounts of labeled data can be expensive or impractical.
The integration with the OpenVINO toolkit ensures that models developed with Intel Geti can be easily deployed on a variety of edge devices. This is essential for enabling real-time, low-latency applications such as autonomous vehicles, robotics, and smart cities.
Overall, Intel Geti is a powerful tool that can help organizations accelerate their AI initiatives and gain a competitive edge.
References:
Reported By: Geti.intel.com
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