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Pascal VOC. The Pascal VOC (Visual Object Classes) format is one of the earlier established benchmarks for object classification and detection, which provides a standardized image data set for object class recognition. The export data format is XML-based and has been widely adopted in computer vision tasks. For more information, see:
The PASCAL VOC project: Provides standardised image data sets for object class recognition. Provides a common set of tools for accessing the data sets and annotations. Enables evaluation and comparison of different methods. Ran challenges evaluating performance on object class recognition (from 2005-2012, now finished)
Sep 9, 2009 · The Pascal Visual Object Classes (VOC) challenge is a benchmark in visual object category recognition and detection, providing the vision and machine learning communities with a standard dataset of images and annotation, and standard evaluation procedures. Organised annually from 2005 to present, the challenge and its associated dataset has become accepted as the benchmark for object detection.This paper describes the dataset and evaluation procedure. We review the state-of-the-art in ...
The PASCAL Visual Object Classes Challenge 2007 The PASCAL Visual Object Classes Challenge 2007 ... New Notebook. table_chart. New Dataset. tenancy. New Model. emoji ...
08-Apr-10: A new taster competition on Large Scale Visual Recognition has been introduced in cooperation with ImageNet . 01-Mar-10: We are preparing to run the VOC2010 challenge. The provisional timetable is below. 01-Mar-10: The challenge workshop will be held in conjunction with ECCV 2010, 11th September 2010, Crete.
May 31, 2024 · Pascal VOC (which stands for Pattern Analysis, Statistical Modelling, and Computational Learning Visual Object Classes) is an open-source image dataset for a number of visual object recognition algorithms. It was initiated in 2005 as part of the Pascal Visual Object Classes Challenge. This challenge was conducted till 2012, each subsequent year.
Person Layout. Participants may enter either (or both) of these competitions. The VOC2007 challenge has been organized following the successful VOC2006 and VOC2005 challenges. Compared to VOC2006 we have increased the number of classes from 10 to 20, and added the taster challenges.
