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cifar-cnn – AI Model by MarkivDunhar | AlphaNeural AI

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MarkivDunhar/
cifar-cnn

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image-classification

uoft-cs/cifar10

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CIFAR-10 CNN Classifier

A 3-block CNN trained from scratch on CIFAR-10 using PyTorch.

Classes

plane, car, bird, cat, deer, dog, frog, horse, ship, truck

Training

Architecture: 3× Conv blocks (32→64→128 channels) + FC classifier
Optimizer: Adam + OneCycleLR scheduler
Augmentation: RandomCrop, RandomFlip, ColorJitter, RandomErasing
Validation accuracy: ~80%+ (after 64 epochs)

Usage

python

from transformers import pipeline
from PIL import Image

classifier = pipeline(
    "image-classification",
    model="MarkivDunhar/cifar-cnn"
)

result = classifier("your_image.jpg")
print(result)
# [{'label': 'dog', 'score': 0.91}]