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road condition classification

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Amap Tech
Amap Tech
Jan 15, 2021 · Artificial Intelligence

Solution Overview of the AMAP-TECH Algorithm Competition: Dynamic Road Condition Analysis from In‑Vehicle Video Images

To tackle the AMAP‑TECH competition’s dynamic road‑condition classification from scarce, imbalanced vehicle‑video frames, the team combined YOLOv5 object detection, ResNeXt101‑based semantic embeddings, and engineered temporal detection statistics, feeding the fused features into a five‑fold LightGBM model that achieved top weighted‑F1 performance.

LightGBMResNeXtYOLOv5
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Solution Overview of the AMAP-TECH Algorithm Competition: Dynamic Road Condition Analysis from In‑Vehicle Video Images