YOLOv8-OBB
Real‑time oriented object detection optimized for mobile and edge by Ultralytics.
Ultralytics YOLOv8‑OBB is a machine learning model that predicts oriented bounding boxes (OBB) and classes of objects in an image. It is designed for detecting objects that are not axis‑aligned, such as aerial imagery or tilted text.
Note: YOLOv8-OBB cannot be downloaded directly due to licensing restrictions. You can export a model ready for on-device deployment using the AI Hub service.
Not supported
This model is currently not supported on any IoT chipset.
To see performance metrics for this model on other chipsets, click the button below.
View for other chipsetsTechnical Details
Model checkpoint:YOLOv8-N-OBB
Input resolution:640*640
Model size (float):12.1 MB
Model size (w8a8):3.53 MB
Model size (w8a8_mixed_int16):3.62 MB
Model size (w8a16):3.55 MB
Applicable Scenarios
- Aerial Imagery Analysis
- Warehouse Logistics
- Text Detection
- Robotic Navigation
License
Model:AGPL-3.0
Tags
- real-time
Supported IoT Devices
- Dragonwing IQ-8275 EVK
- 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
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCM6690
- Qualcomm® QCS6490
- Qualcomm® QCS7181
- Qualcomm® QCS7790
- Qualcomm® QCS8275
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS8750
- Qualcomm® QCS9075
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