Protect Data
During Training
Maintain
Quality
Protect
Inference
Safeguard
Model
The current Demo version of the product will be most valuable for users tasked with object detection in images and videos containing sensitive content.
| Supported data types: | Base architectures: | Distribution method: |
|---|---|---|
| image, video | YOLOv7, YOLOv8 | Docker image available on DockerHub |
Storing protected files may require up to 100 times more disk space than storing the original images.
An example of adapting the model for training on protected data (available on GitHub).
In the “Message” field below, please include your GitHub account for get access, as well as any questions or additional information about your case if needed.
Study quick start guide
Send questions or comments
Take YOLO model
Train model on dataset
Deploy docker container
Protect datatest images
Take adapted YOLO model
Train model on protected data
Send feedback with metrics
Please fill out the following fields and submit a request to receive the demo version of the product.
In response, we will send you a step-by-step Quick Start Guide with additional materials.
