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Add evaluation results and output files to model card

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README.md CHANGED
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1
- # segmentation-model-v3_1_3_spines_bc
 
 
 
 
 
 
 
 
 
2
 
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- ### Performance Metrics
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- | Class | Precision | Precision_std | Recall | Recall_std | Mean_IoU | Mean_IoU_std |
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- |:---------|------------:|----------------:|---------:|-------------:|-----------:|---------------:|
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- | Junction | 58.4 | 24.4 | 41.46 | 26.47 | 0.32 | 0.19 |
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- | process | 89.19 | 6.13 | 90.39 | 3.86 | 0.59 | 0.08 |
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- | soma | 86.59 | 30.33 | 75.56 | 32.97 | 0.83 | 0.23 |
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- | spine | 34.17 | 11.99 | 39.31 | 13.12 | 0.24 | 0.16 |
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- ### Performance Metrics
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- | Bio object | gt | pr | pr/gt |
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- |:------------------------------------|-----------------:|-----------------:|:--------|
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- | Total_area_of_neuronal_process_um^2 | 1.03571e+06 | 1.45047e+06 | 140.05% |
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- | Total_Length_of_neuronal_process_um | 81753.7 | 80088.4 | 97.96% |
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- | Total_Area_of_soma_um^2 | 170835 | 139919 | 81.90% |
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- | Number_of_soma_count | 50 | 34 | 68.00% |
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- | Number_of_spine_count | 783 | 432 | 55.17% |
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- | junctions_count | 521 | 280 | 53.74% |
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- | Total_area_of_spine_um^2 | 41147 | 17780 | 43.21% |
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- ### Plots
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- ![boxplot_soma.png](./plots/boxplot_soma.png)
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- ![boxplot_spine.png](./plots/boxplot_spine.png)
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- ![boxplot_Junction.png](./plots/boxplot_Junction.png)
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- ![boxplot_process.png](./plots/boxplot_process.png)
 
 
1
+ ---
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+ language: code
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+ tags:
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+ - binary-classification
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+ - model
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+ - evaluation
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+ metrics:
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+ - average_precision: 0.98
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+ - roc_auc: 0.98
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+ ---
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+ # Binary Classification Model
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+ ## Evaluation Results
 
 
 
 
 
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+ **Average Precision:** 0.98
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+ **ROC AUC:** 0.98
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+ ## Visualizations
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+ ### Precision-Recall Curve
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+ ![Precision-Recall Curve](./pr_curve.png)
 
 
 
 
 
 
 
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+ ### ROC Curve
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+ ![ROC Curve](./roc_curve.png)
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+ ## Output Files and Directories
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+ - 📂 `checkpoint-171/`
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+ - `config.json`
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+ - `model.safetensors`
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+ - `preprocessor_config.json`
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+ - `training_args.bin`
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