LightlyEdge is a smart data selection SDK designed for edge devices, that helps you to identify and utilize high-signal data in real-time, reducing data transfer and storage costs while optimizing your machine learning models.
Find relevant frames using text or image queries. Our advanced vision language embeddings make searches intuitive.
Set custom triggers to automate data collection based on diversity and semantic similarity, optimizing your training datasets.
Understand your data with comprehensive analytics, showing the frequency and distribution of specific categories.
With the LightlyEdge SDK running directly on your data collection devices only the frames that match your individual criteria are stored, improving speed and reducing the need for data storage significantly.
Less than 200 MBytes footprint, ideal
for low-power applications.
Runs >10 fps on embedded CPUs, >100 fps on embedded GPUs.
Search images using text inputs or reference images, identifying edge cases without new model deployment.
Detect domain shifts in real-time to ensure your models remain reliable.
Search images using text inputs or reference images, identifying edge cases without new model deployment.