You Only Look Once: Unified, Real-Time Object Detection
We present YOLO, a new approach to object detection. Prior work on object detection repurposes classifiers to perform detection. Instead, we frame object detection as a regression problem to spatially separated bounding boxes and associated class probabilities. A single neural network predicts bounding boxes and class probabilities directly from full images in one evaluation. Since the whole detec
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GitHub - streamlit/demo-self-driving: Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
