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Image Classification Model Card
Overview
This repository contains an ONNX image classification model for recognizing visual symbol classes in small cropped images.
Files
model_fp32.onnx: FP32 ONNX model artifacteval_onnx_fp32.json: Evaluation summary for the ONNX modeltraining_metrics.json: Training/validation metric logsclass_map.json: Label mapping used by the model
Intended Use
- Inference in OCR or visual classification pipelines
- Benchmarking and experimentation
Limitations
- Performance depends on image quality and class balance
- May underperform on out-of-domain samples
Ethical Considerations
Use this model in lawful and privacy-respecting contexts.
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