Lost and Found
홈페이지 · 논문 57편
Lost and Found is a novel lost-cargo image sequence dataset comprising more than two thousand frames with pixelwise annotations of obstacle and free-space and provide a thorough comparison to several stereo-based baseline methods. The dataset will be made available to the community to foster further research on this important topic. Source: [Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles](/paper/lost-and-found-detecting-small-road-hazards) Image Source: http://www.6d-vision.com/lostandfounddataset