Yet Another Computer Vision Index To Datasets (YACVID) - Details

Stand: 2020-06-03 000000m 21:56:56 - Overview

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Name (Institute + Shorttitle)ETHZ Shape 
Description (include details on usage, files and paper references)The ETHZ Shape classes dataset from Vittorio Ferrari [?] consists of five object classes and a total of 255 images. All classes contain significant intra-class variations and scale changes. The images sometimes contain multiple instances of a category and have a large amount of background clutter.

The evaluation protocol entails either a) using the hand drawn models and testing on all 255 images, or b) training 50% of a category images and testing on all remaining images. For example, the applelogo class contains 40 images. Thus training is done on a random subset of 20 and testing is done on the remaining 20+215 images. The evaluation criterion used to be the IOU 20% and is now the standard PASCAL 50%. The code by Ferrari contains samples splits and routines for randomly creating train and test splits.

The ETHZ shape dataset has been used for object detection in various forms including shape only detection, complex features detection, transfer learning and segmentation. Hayko Riemenschneider created a pixel-accurate segmentation annotation. 
URL Link 
Files (#)255 
References (SKIPPED)
Category (SKIPPED)Object Detection by Shape 
Tags (single words, spaced)shape, detection, matching, segmentation, clutter, applelogo, bottle, giraffe, nature, swan, mug 
Last Changed2020-06-03 
Turing (2.12+3.25=?) :-)