Lost and Found
Custom
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 Image Source: http://www.6d-vision.com/lostandfounddataset