| # 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 artifact | |
| - `eval_onnx_fp32.json`: Evaluation summary for the ONNX model | |
| - `training_metrics.json`: Training/validation metric logs | |
| - `class_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. | |