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yolov8-od-nano-320-int8-torq
Synaptics/yolov8-od-nano-320-int8-torq
yolov8-od-nano-320-int8-torq is a machine learning model from Synaptics. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for torq. The card lists the license as agpl-3.0.
A YOLOv8n model for object detection optimized for 320x320 resolution, offering a balance between speed and accuracy.
Access
Public
Updated Oct 29, 2026
Repo size
36 MB
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At a glance
- Library
- torq
- License
- agpl-3.0
- Access
- Public
- Created
- May 8, 2026
- Updated
- Oct 29, 2026
- SHA
- 6c4a6dfe
Base models
Model card
From the Hugging Face model README
YOLOv8n Nano 320x320
Model Overview
A YOLOv8n model for object detection optimized for 320x320 resolution, offering a balance between speed and accuracy.
The YOLOv8n 320x320 model is developed and optimized for the Synaptics Astra™ SL2610-Series processors Torq NPU.
Model Features
- Model Type: Object Detection
- Input Size: 320x320
- Output Size: 1x84x2100
Deployment
The compiled model file is available for download on Huggingface at Synaptics/yolo.
Usage tutorial available at Synaptics AI Developer Zone / SL2600 / Object Detection.
License
Both the source model and the compiled model for on-device deployment are licensed under AGPL-3.0.
Learn More
- Synaptics AI Developer Zone: Get started with documentation, tutorials and resources for your Edge AI journey.
- Astra Support Portal: Connect with our engineering team and community.
- Library
- torq
- License
- agpl-3.0
- Created
- May 8, 2026
- Updated
- Oct 29, 2026