Engineered a computer vision pipeline for real-time object detection in infrared media. Fine-tuned a YOLOv12 model to classify 17 species of wildlife, reaching 88.3% mAP. Built a user-friendly frontend with Streamlit, enabling seamless interaction with the model for both image and video-based detection..
computer-vision deep-learning pytorch object-detection camera-traps wildlife-detection yolov12 infrared-imagery conservation-tech
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Updated
Oct 21, 2025 - Jupyter Notebook