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The UCSB Bio-Segmentation Benchmark dataset consists of 2D/3D images (Section 1) and time-lapse sequences that can be used for evaluating the performance of novel state of the art computer vision algorithms. Tasks include segmentation, classification, and tracking.

devereux mapobjective systemcoal oil point at devereux sloughcoal point mapsplant id varietydata collection camerasbuilding the database diagramquery system diagram

With the emergence of smart phones and their increasing popularity, we envision a mobile application capable of plant identification from geo-tagged images. The application sends user generated images to the server, and retrieves information about plant taxonomy and habitat. The system uses plant features such as leaf properties, branching structure, and flower attributes, where applicable, as well as location information, to identify the species. The server returns a list of plant species that are closely related based on phenotypical characteristics.