Yolo-X
Real‑time object detection optimized for mobile and edge.
YoloX is a machine learning model that predicts bounding boxes and classes of objects in an image.
Not supported
This model is currently not supported on any IoT chipset.
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View for other chipsetsTechnical Details
Model checkpoint:YoloX Small
Input resolution:640x640
Number of parameters:8.98M
Model size (float):34.3 MB
Model size (w8a16):9.53 MB
Model size (w8a8):8.96 MB
Applicable Scenarios
- Factory Automation
- Robotic Navigation
- Camera
License
Model:APACHE-2.0
Tags
- real-time
Supported IoT Devices
- Dragonwing IQ-9075 EVK
- Dragonwing IQ-X5121
- Dragonwing IQ-X7181
- Dragonwing Q-6690 MTP
- Dragonwing Q-7790
- Dragonwing Q-8750
- Dragonwing RB3 Gen 2 Vision Kit
- QCS8275 (Proxy)
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCM6690
- Qualcomm® QCS6490
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075
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