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deven96/
resnet50-onnx

Name: resnet50-onnx
Availability: InStock

onnx

image-classification

apache-2.0

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ONNX port of microsoft/resnet-50.

This model is intended to be used for image classification and similarity searches.

You can find the ONNX port implementation here

Usage

Here's an example of performing inference using the model with FastEmbed.

from fastembed import ImageEmbedding

images = [
    "./path/to/image1.jpg",
    "./path/to/image2.jpg",
]

model = ImageEmbedding(model_name="Qdrant/resnet50-onnx")
embeddings = list(model.embed(images))

# [
#   array([-0.1115,  0.0097,  0.0052,  0.0195, ...], dtype=float32),
#   array([-0.1019,  0.0635, -0.0332,  0.0522, ...], dtype=float32)
# ]

deven96/resnet50-onnx

Usage

deven96/
resnet50-onnx