Livoa LogoLivoa
YOLOv5 Training and Configuration


• Backbone: Feature Extraction

• Neck: Multi-scale Features

• Head: Bounding Boxes & Classes

• Hyperparameters: Batch size, Learning rate, Epochs

• GPU-enabled Training

Backend Implementation (Django)


• User Authentication

• Image Handling & Storage

• REST API (Django REST Framework)

Frontend Implementation (Flet)


• Dashboard (Scan Results)

• Upload Panel

• Settings (Sensitivity, Filters)

System Integration & Testing


• Batch Image Upload

• Live Camera Feed

• Offline Mode with Logs

• User Testing (Parents, Students)

Evaluation Metrics


• Accuracy

• False Positives/Negatives

• System Latency

• User Feedback

Limitations


• No full real-time video analysis

• Dataset labeling inconsistencies

• Performance drop on low-power devices

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