Udacity Annotated Driving Datasets

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Udacity Annotated Driving Datasets

Udacity Annotated Driving Datasets have two datasets:Dataset 1The dataset includes driving in Mountain View California and neighboring cities during daylight conditions. It contains over 65,000 labels across 9,423 frames collected from a Point Grey research cameras running at full resolution of 1920x1200 at 2hz. The dataset was annotated by CrowdAI using a combination of machine learning and humans.LabelsCarTruckPedestrianCSV FormatxminyminxmaxymaxframelabelSize 1.5 GBAnnotator CrowdAIDataset 2This dataset is similar to dataset 1 but contains additional fields for occlusion and an additional label for traffic lights. The dataset was annotated entirely by humans using Autti and is slightly larger with 15,000 frames.LabelsCarTruckPedestrianStreet LightsCSV Formatframexminyminxmaxymaxoccludedlabelattributes (Only appears on traffic lights)Size 3.3 GBAnnotator Autti

Dataset Attributes

Label SVG
CategoriesUrban, Street, Selfdriving, Autonomous, Udacity, Annotation, California, City, Daylight