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license: agpl-3.0
library_name: onnx
tags:
- image-classification
- resnet18
- multi-task
- card-classification
pipeline_tag: image-classification
---
# set-card-class
ResNet18 ONNX model that classifies a cropped image of a SET® card into its four attributes: count, color, fill, shape.
## Input / output
- Input: RGB card crop, resized to 112x160, normalized with ImageNet mean/std (`mean=[0.485, 0.456, 0.406]`, `std=[0.229, 0.224, 0.225]`).
- Output: four classification heads, in order count/color/fill/shape, each one of its three SET values plus `other` (low-confidence / non-card crop).
- `onnx/model.onnx` (fp32) and, if present, `onnx/model_quantized.onnx` (int8).
## License
AGPL-3.0.
## Disclaimer
Unofficial, fan-made project; not affiliated with, endorsed by, or sponsored by SET Enterprises, Inc.
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