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Pruddie/
kikuyu-resnet50-onnx

Name: kikuyu-resnet50-onnx
Availability: InStock

onnx

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Kikuyu ResNet50 Fine-tuned Model

This model is a fine-tuned ResNet50 image classification model trained on Kikuyu cultural images (e.g., initiation, ceremonies, and traditional wear).

🧠 Model Details

Base Model: ResNet50 (ImageNet pre-trained)
Framework: TensorFlow → converted to ONNX
Input size: 224x224 RGB
Output: Probability distribution over cultural categories

🚀 How to Use

You can use this model with the Hugging Face Inference API:

python

from huggingface_hub import InferenceClient

client = InferenceClient("Pruddie/kikuyu-resnet50-onnx")
image_path = "sample.jpg"

with open(image_path, "rb") as f:
    result = client.post("/predict", files={"image": f})

print(result.json())