Downloads · 30 days
0
LibreResNet18-cls
LibreYOLO/LibreResNet18-cls
LibreResNet18-cls is a image classification model from LibreYOLO. Use it when you need a label for an image. It is set up for libreyolo. The card lists the license as apache-2.0.
ResNet-18 image classifier (224px, ImageNet-1k, 1000 classes), repackaged for LibreYOLO. ~11.7M parameters.
Access
Public
Updated Jun 29, 2026
Repo size
93.7 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt46.9 MB · 100%
At a glance
- Task
- Image Classification
- Library
- libreyolo
- License
- apache-2.0
- Access
- Public
- Created
- Jun 28, 2026
- Updated
- Jun 29, 2026
- SHA
- fff407ac
Datasets
Model card
From the Hugging Face model README
LibreResNet18-cls
ResNet-18 image classifier (224px, ImageNet-1k, 1000 classes), repackaged for LibreYOLO. ~11.7M parameters.
Source
Derived from huggingface/pytorch-image-models (timm),
model resnet18.a1_in1k (the "ResNet Strikes Back" A1 recipe, ImageNet-1k).
Architecture: He et al. 2015 (https://arxiv.org/abs/1512.03385). Weights by Ross
Wightman and the timm contributors. Copyright (c) Ross Wightman. Licensed under the
Apache License 2.0.
Modifications
Learned parameters are unchanged from timm. The checkpoint is metadata-wrapped into
the LibreYOLO format (model_family / task / nc / names). LibreYOLO's native ResNet
(v1.5) mirrors timm/torchvision module names, so inference is bit-identical to timm
(max_abs_diff == 0, verified by the parity test). See
weights/convert_resnet_weights.py in the
LibreYOLO source repository.
Usage
from libreyolo import LibreYOLO
model = LibreYOLO("LibreResNet18-cls.pt")
result = model.predict("image.jpg")[0]
print(result.probs.top1, result.probs.top5)
License
Apache License 2.0. See the LICENSE and NOTICE files in this repository.
- Task
- Image Classification
- Library
- libreyolo
- License
- apache-2.0
- Created
- Jun 28, 2026
- Updated
- Jun 29, 2026