ultralytics-ascend/ultralytics/cfg/models/11/yolo11-cls-resnet18.yaml
Mohammed Yasin cc1e77138c
ultralytics 8.3.59 Add ability to load any torchvision model as module (#18564)
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2025-01-09 13:57:46 +01:00

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YAML

# Ultralytics YOLO 🚀, AGPL-3.0 license
# YOLO11-cls image classification model. For Usage examples see https://docs.ultralytics.com/tasks/classify
# Parameters
nc: 10 # number of classes
scales: # model compound scaling constants, i.e. 'model=yolo11n-cls.yaml' will call yolo11-cls.yaml with scale 'n'
# [depth, width, max_channels]
n: [0.33, 0.25, 1024]
s: [0.33, 0.50, 1024]
m: [0.67, 0.75, 1024]
l: [1.00, 1.00, 1024]
x: [1.00, 1.25, 1024]
# YOLO11n backbone
backbone:
# [from, repeats, module, args]
- [-1, 1, TorchVision, [512, "resnet18", "DEFAULT", True, 2]] # truncate two layers from the end
# YOLO11n head
head:
- [-1, 1, Classify, [nc]] # Classify