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morpeN1/
autolens-resnet18

Name: autolens-resnet18
Availability: InStock

onnxruntime

onnx

safetensors

autolens_image_classifier

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AutoLens ResNet18 Baseline

Baseline CNN model for 8-class vehicle body type classification.

Model

Architecture: ResNet18
Classes: 8 vehicle body types
Source run: baseline_0_resnet18_20260509_092916
Source checkpoint: checkpoints/baseline_0_resnet18_20260509_092916/best-12-0.8414.ckpt
Export format: model.safetensors plus metadata.json, with ONNX for deployment

Classes

SUV
VAN
STATION WAGON
MICRO
OPEN WHEEL / F1
SEDAN
HATCHBACK
PICK UP

Preprocessing

RGB input
Resize: 256
Center crop / model input: 224 x 224
Mean: [0.4429, 0.4354, 0.437]
Std: [0.2456, 0.2421, 0.2449]

Internal Test Results

Evaluated on held-out internal test set (3170 samples, no data leakage).

Accuracy: 0.8968
F1-macro: 0.8590
F1-weighted: 0.8963
Precision-macro: 0.8887
Recall-macro: 0.8361

Per-class Performance

Class	Precision	Recall	F1-score	Support
SUV	0.9104	0.9104	0.9104	670
VAN	0.9165	0.9165	0.9165	455
STATION WAGON	0.6212	0.6212	0.6212	66
MICRO	0.7727	0.7727	0.7727	22
OPEN WHEEL / F1	0.9949	0.9949	0.9949	586
SEDAN	0.8800	0.9031	0.8914	836
HATCHBACK	0.7306	0.7444	0.7374	266
PICK UP	0.9328	0.8253	0.8757	269

Artifact sizes

model.safetensors: 42.698 MB
model.onnx: 42.642 MB

Files

model.safetensors — weights-only model artifact
metadata.json — architecture, classes, preprocessing, source run, and artifact metadata
model.onnx — ONNX Runtime inference artifact
model.simplified.onnx — optional simplified ONNX graph when available
size_report.json / size_check.json — artifact size and ONNX smoke evidence

Intended use

Educational demo and report evidence for classifying uploaded vehicle images into the 8 AutoLens body-type classes.

Limitations

The dataset is assembled from public/open sources and may contain domain bias. Similar body styles such as hatchback, station wagon, and sedan can be ambiguous. The merged raw dataset is not redistributed in this model repository.

morpeN1/autolens-resnet18