YOLOv8m
COCO-pretrained YOLOv8m model exported from Ultralytics to ONNX for Aidge validation.
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 99,0 MB
- Versión
- vRevision c447dfa
- Actualizado
- 27 sept 2026
- Descargas
- 0
- Tareas
- Detección de objetos
- Fuente
- Hugging Face
Descripción de la fuente
YOLOv8m ONNX
COCO-pretrained YOLOv8m model exported from Ultralytics to ONNX for Aidge validation.
Model
- Source model: Ultralytics YOLOv8m
- Task: object detection
- Dataset: COCO
- Export format: ONNX
- ONNX opset: 17
- Input:
images, shape[1, 3, 640, 640] - Output:
output0, shape[1, 84, 8400]
Usage in Aidge
This model is used to validate YOLOv8 CPU import and inference in Aidge through the ONNX import path.
The static 640x640 export is used for model-zoo testing because it has fixed input and output shapes.
License
The original YOLOv8 model is provided by Ultralytics under the AGPL-3.0 license.
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 27 sept
Artefactos del modelo
1 artefacto
Artefactos del modelo
1 artefactoExtractos de fuentes
2 extractos
Extractos de fuentes
2 extractos--- license: agpl-3.0 library_name: onnx pipeline_tag: object-detection tags: - yolov8 - onnx - object-detection - coco - aidge --- # YOLOv8m ONNX COCO-pretrained YOLOv8m model exported from Ultralytics to ONNX for Aidge validation. ## Model - Source model: Ultralytics YOLOv8m - Task: object detection - Dataset: COCO - Export format: ONNX - ONNX opset: 17 - Input: `images`, shape `[1, 3, 640, 640]` - Output: `output0`, shape `[1, 84, 8400]` ## Usage in Aidge This model is used to validate YOLOv8 CPU import and inference in Aidge through the ONNX import path. The static `640x640` export is used for model-zoo testing because it has fixed input and output shapes. ## License The original YOLOv8 model is provided by Ultralytics under the AGPL-3.0 license.
Source context: 0 downloads · 0 likes · Pipeline object-detection · Library onnx · Repo EclipseAidge/YOLOv8m
