Beta

Explore
Marketplace
Neural Labs
Chat
Wallet
Docs

Beta

Explore Marketplace Neural Labs Wallet Docs

Build

Manage

My assets Manage wallet Organization

Community

Discord X (Twitter)Telegram

Docs Privacy Policy Terms and Conditions

Proud member of

Proud member of

Docs Cookie Policy

Privacy Policy Terms and Conditions

© 2026 AlphaNeural AI. All rights reserved.

vehicle-model-classifier – AI Model by myneighborh | AlphaNeural AI

You can deploy this model and start earning money today!

myneighborh/
vehicle-model-classifier

like

0

image-classification

computer-vision

cc-by-nc-sa-4.0

Views

No views yet

Vehicle Model Classifier

This deep learning model classifies 396 real-world used car models from vehicle images.

Final Model Details

Backbone: ConvNeXt-Base
Framework: PyTorch
Augmentation: MixUp / CutMix / Albumentations
Scheduler: CosineAnnealingLR / ReduceLROnPlateau
Validation: Stratified K-Fold (3-fold)
Ensemble: Logit & Soft Voting Ensemble
TTA: 3-view & 5-view Test Time Augmentation

How to Use

python

from transformers import AutoImageProcessor, AutoModelForImageClassification
from PIL import Image
import torch

processor = AutoImageProcessor.from_pretrained("myneighborh/vehicle-model-classifier")
model = AutoModelForImageClassification.from_pretrained("myneighborh/vehicle-model-classifier")

image = Image.open("path_to_image.jpg")
inputs = processor(images=image, return_tensors="pt")
outputs = model(**inputs)
pred = outputs.logits.argmax(-1).item()
label = model.config.id2label[pred]
print("Predicted label:", label)