Published March 1, 2021 | Version v1
Dataset Open

MeMAD data for automatic cross-lingual retrieval experiments

  • 1. University of Helsinki
  • 2. Aalto University

Description

A collection of various sets of image metadata for the ImageCLEF Wikipedia image retrieval 2010-2011 dataset, enriched with automatically-generated image captions, and translations of the original metadata in German, English and French, as used in the MeMAD automatic cross-lingual content retrieval experiments.

This collection has been derived from the original annotations from the ImageCLEF Wikipedia image retrieval 2010-2011 dataset.

Files

Files (508.7 MB)

Name Size Download all
md5:034f4ccdc5520d3cb917456b0de1ee40
6.5 MB Download
md5:8e9440d8a069b0635bad7cfc57439913
7.6 MB Download
md5:0c372b06c6952fa8462a6334b528c66b
9.9 MB Download
md5:ff785b20aa85b3db88fda30b7cd56c27
6.0 MB Download
md5:8f079329ecb1914e84e378aa6563441c
4.4 MB Download
md5:2b7eb6ed786ad8871c054edbb65a0fd6
3.8 MB Download
md5:c93b43710bfc3123d9d3f14d389e6b74
9.9 MB Download
md5:c12c531c034611bef1378c74650ffc46
8.8 MB Download
md5:0d294645d0745385b1158e14b6e38faf
3.4 MB Download
md5:8c9a760ed38bf6eb7469f1be577088bd
7.2 MB Download
md5:8f08b4dd93ae90fbd9dca06c85558bb3
6.4 MB Download
md5:a80259130f3ab090b66a8296bf3115bf
2.9 MB Download
md5:e917e677b88bfd6e9d1180e432fb4fe8
15.2 MB Download
md5:e271b8d8fa61bf5b978694a17b2b2f99
13.5 MB Download
md5:eeb0420c4af1a1e3b4fb65e2279448eb
36.2 MB Download
md5:dbf2a1e65d41e9cd474b0a286e51f003
32.4 MB Download
md5:daadcf1392a4a7e74caa2fd13081a1db
11.5 MB Download
md5:b328d8e18977a30d06eea424d33acb4f
25.8 MB Download
md5:10295c3f6017fd3dabfaadc4b3320524
22.9 MB Download
md5:aed6123f7697210ba134962f7496e0bd
10.2 MB Download
md5:06bdbd0bbd523215b9cf6f78214533d8
6.6 MB Download
md5:86fc5b3689cc7a9bd0c8fd416abf401e
5.8 MB Download
md5:942b70d1b3c9f7f539b1128c5543e081
11.9 MB Download
md5:e6b547675cd56d32ecd916bdc7a4c356
10.6 MB Download
md5:2b91a7eb984e5335f6e4b5abfeeebb19
5.0 MB Download
md5:a9d61a114cce1469202a8ab7033027d6
9.0 MB Download
md5:c72676c473afc5dfec5c613e14678865
8.0 MB Download
md5:d81a3c9db46984dfe953e204f1599461
4.4 MB Download
md5:0845698961384a196d5d198d2b3e09cc
21.2 MB Download
md5:6224687d3de2e19d02b0882985cd6d26
18.8 MB Download
md5:6bdee9edcd3c2c940edcfce45e1cc71d
40.4 MB Download
md5:5a44fcd7d83498306e4926675f42e1fc
36.2 MB Download
md5:c8b6ffcfefcdc5e221801c3005228936
15.8 MB Download
md5:246ba99a7703bfdef8c92e269dbbca81
29.9 MB Download
md5:1b701ab35a8121c37bc7ad479c31a25d
26.5 MB Download
md5:555bccfc577537e3a3a2f755de1b3f68
14.1 MB Download

Additional details

Funding

MeMAD – Methods for Managing Audiovisual Data: Combining Automatic Efficiency with Human Accuracy 780069
European Commission