YOLOv9-Detection
Real‑time object detection optimized for mobile and edge by Ultralytics.
Ultralytics YOLOv9 is a machine learning model that predicts bounding boxes and classes of objects in an image.
Note: YOLOv9-Detection cannot be downloaded directly due to licensing restrictions. You can export a model ready for on-device deployment using the AI Hub service.
Technical Details
Model checkpoint:YOLOv9-T
Input resolution:640x640
Model size (float):8.84 MB
Model size (w8a8):3.23 MB
Model size (w8a8_mixed_int16):3.74 MB
Model size (w8a16):3.25 MB
Applicable Scenarios
- Factory Automation
- Robotic Navigation
- Camera
License
Model:AGPL-3.0
Tags
- real-time
Supported IoT Devices
- Dragonwing IQ-9075 EVK
- Dragonwing Q-6690 MTP
- 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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