Yolo-v7-Quantized
Quantized 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. This model is post‑training quantized to int8 using samples from the COCO dataset.
Technical Details
Model checkpoint:YoloV7 Tiny
Input resolution:720p (720x1280)
Number of parameters:6.24M
Model size:6.23 MB
Applicable Scenarios
- Factory Automation
- Robotic Navigation
- Camera
Supported Mobile Form Factors
- Phone
- Tablet
Tags
- real-time
- quantized
Supported Mobile Devices
- Samsung Galaxy S21
- Samsung Galaxy S21 Ultra
- Samsung Galaxy S21+
- Samsung Galaxy S22 5G
- Samsung Galaxy S22 Ultra 5G
- Samsung Galaxy S22+ 5G
- Samsung Galaxy S23
- Samsung Galaxy S23 Ultra
- Samsung Galaxy S23+
- Samsung Galaxy S24
- Samsung Galaxy S24 Ultra
- Samsung Galaxy S24+
- Samsung Galaxy Tab S8
- Snapdragon 8 Elite QRD
- Xiaomi 12
- Xiaomi 12 Pro
Supported Mobile Chipsets
- Snapdragon® 8 Elite Mobile
- Snapdragon® 8 Gen 1 Mobile
- Snapdragon® 8 Gen 2 Mobile
- Snapdragon® 8 Gen 3 Mobile
- Snapdragon® 888 Mobile
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