metadata
library_name: pytorch
YOLOv8 is a versatile computer vision model from Ultralytics designed to support a broad range of vision tasks, including object detection, image classification, instance segmentation, pose estimation, and oriented object detection, with an emphasis on accuracy, speed, and ease of deployment.
Original Reference: Ultralytics YOLOv8 — Official YOLOv8 documentation
YOLOv8s
This model uses the YOLOv8-Small(YOLOv8s) variant for object detection, providing a lightweight configuration optimized for low-latency inference and small memory footprint. It is well suited for real-time object detection in applications such as automotive perception, surveillance, robotics, industrial inspection, and edge video analytics.
Model Configuration:
- Reference implementation: Ultralytics forked by Ambarella
- Original Weight: YOLOv8s_Weights.COCO2017
- Dataset: COCO
- Resolution: 3x640x640
- Support Cooper version:
- Cooper SDK: [2.5.4]
- Cooper Foundry: [2.3]
| Model | Device | compression | Model Link |
|---|---|---|---|
| YOLOv8s | N1-655 | Amba_optimized | Model_Link |
| YOLOv8s | N1-655 | Activation_fp16 | Model_Link |
| YOLOv8s | X7 | Amba_optimized | Model_Link |
| YOLOv8s | X7 | Activation_fp16 | Model_Link |
| YOLOv8s | CV7 | Amba_optimized | Model_Link |
| YOLOv8s | CV7 | Activation_fp16 | Model_Link |
| YOLOv8s | CV72 | Amba_optimized | Model_Link |
| YOLOv8s | CV72 | Activation_fp16 | Model_Link |
| YOLOv8s | CV75 | Amba_optimized | Model_Link |
| YOLOv8s | CV75 | Activation_fp16 | Model_Link |