Contains the bibliographic text (front page) of each patent grant issued weekly (Tuesdays) from January 6, 1976 to present (excludes images/drawings). Subset of the Patent Grant Full Text Data.

Contains the full text of each patent grant issued weekly (Tuesdays) from January 6, 1976 to present (excludes images/drawings). Subset of the Patent Grant Full Text Data with Embedded TIFF Images.

Contains the full text, images/drawings, and complex work units (tables, mathematical expressions, chemical structures, and genetic sequence data) of each patent grant issued weekly (Tuesdays) from January 2, 2001 to present.

The 24 Hour Box zipfile contains images of daily Trademark applications in either JPG format (black and white, grayscale, or color) or TIFF format (black and white) processed through the Trademark Image Capture and Retrieval System (TICRS) and viewable using any standard image viewer. JPG images are accompanied by an XML file that contains text information about the application. TIFF images contain the application number embedded in the image (stamped prior to scan).

Pending and registered trademark text data (no images) to include word mark, serial number, registration number, filing date, registration date, goods and services, classification number(s), status code(s), and design search code(s).

Assignment (ownership) text data (no images).

Trademark Trial and Appeal Board (TTAB) text data (no images).

There are two objectives of this shape retrieval contest:

a) To evaluate partial similarity between query and target objects and retrieve complete 3D models that are relevant to a partial query object.

b) To retrieve 3D models those are relevant to a query depth map. This task corresponds to a real life scenario where the query is a 3D range scan of an object acquired from an arbitrary view direction. The algorithm should retrieve the relevant 3D objects from a database.

Task description

The objectives of this shape retrieval contest are to evaluate the performance of 3D shape retrieval approaches on a new generic 3D shape benchmark.

Task description: In response to a given set of queries, the task is to evaluate similarity scores with the target models and return an ordered ranked list along with the similarity scores for each query.

The objective of this track is to evaluate the performance of 3D shape retrieval approaches on a Generic 3D shape benchmark based on the Google 3D Warehouse.