Web Reference: Mar 28, 2026 · Processed over 600K satellite detections to classify fire events and model fire spread and achieved a mean accuracy of 0.452 across experiments. 02/2025 – 06/2025 • Built CNN and ConvLSTM architectures for spatial–temporal prediction. • Increased model accuracy by 45.8% compared to the baseline classifier. - ESWARSADHU/Wildfire-Detection-and-7-Day-Spread-Prediction-Using-NASA-Satellite ... Validate the trained YOLOv8 model for fire detection using the best weights and specified dataset Sep 24, 2023 · Our Python project employs the YOLOv8 model to perform real-time fire detection using either a webcam or a video file as input. When a fire is detected, an alarm sound is triggered to alert...
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