Bleeding Detection and Classification

Classification Metrics

Metric (in probability)	Value
Accuracy	0.7864
Recall (Bleeding)	0.9602
Recall (Non Bleeding)	0.6126
Recall (Weighted)	0.7864
F1-Score (Bleeding)	0.8180
F1-Score (Non Bleeding)	0.7415
F1-Score (Weighted)	0.7798

Detection Metrics

Metric (in probability)	Value
mAP50	0.652
mAP50-95	0.336

Training Metrics

Confusion Metrics	Confusion Metrics Normalized

F1 Curve	P Curve	PR Curve	R Curve

Detection and Classification

Validation Dataset

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Images
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Images

Interpretability Plots (Cam Plots of 2nd last layer)

Test Dataset 1

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Cam Images

Test Dataset 2

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CAM Images

Detection and Classification

Testing Dataset 1

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Images

Testing Dataset 2

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Images

Instructions

• Clone the repo
• Install requirements.txt via pip install -r requirements.txt
• Download and extract the model weights from here
• Do necessary changes in test.py file.
• Running the test.py generates the predictions.csv file