Duygulu, P.; Barnard, K.; de Freitas, J.F.G.; Forsyth, D.A. (2002). Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary. In Computer Vision, ECCV 2002, 97-112.
corel5k
Summary
Instances | 5000 |
---|---|
Attributes | 873 |
Inputs | 499 |
Labels | 374 |
Labelsets | 3175 |
Single labelsets | 2523 |
Max frequency | 55 |
Cardinality | 3.522 |
Density | 0.0094 |
Mean IR | 189.5676 |
SCUMBLE | 0.3941 |
TCS | 20.1999 |
Citation
Duygulu, P.; Barnard, K.; de Freitas, J.F.G.; Forsyth, D.A. (2002). Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary. In Computer Vision, ECCV 2002, 97-112.
Concurrence plot
In this concurrence plot, sectors represent labels and links between them depict label co-occurrences. SCUMBLE is a measure designed to assess the concurrence among imbalanced labels.