Yolo-v7
Real‑time object detection optimized for mobile and edge.
YoloV7 is a machine learning model that predicts bounding boxes and classes of objects in an image.
Technical Details
Model checkpoint:YoloV7 Tiny
Input resolution:720p (720x1280)
Number of parameters:6.39M
Model size:24.4 MB
Applicable Scenarios
- Factory Automation
- Robotic Navigation
- Camera
Tags
- real-time
Supported Compute Devices
- Snapdragon X Elite CRD
- Snapdragon X Plus 8-Core CRD
Supported Compute Chipsets
- Snapdragon® X Elite
- Snapdragon® X Plus 8-Core
Related Models
See all models
Looking for more? See models created by industry leaders.
Discover Model Makers