St. Petersburg Plants
| CODE: |
GitHub |
| DATATYPE: |
images |
| SOURCE: |
Instagram |
| PLACE: |
St. Petersburg |
| YEARS: |
2014-2015 |
| SIZE: |
1254 |
| SUBSET: |
"plant" |
| VIZTYPE: |
map |
| FEATURES: |
tag space |
| FEAT SRC: |
Google Cloud Vision |
| ORIG FEAT DIMS: |
697 |
| EMBEDDING: |
t-SNE |
| BINS: |
60 |
| GRIDDING: |
fill |
| CRITERION: |
adjacency |
| ANNOTATIONS: |
tag lists |
| % ANN: |
55 |
| PROJECT: |
St. Petersburg Instagram |
This is a "map" visualization, meaning that the images are plotted in a coordinate space — here, a 2D t-SNE embedding of a 697-dimensional tag space generated by Google's Cloud Vision API. Since Google's classifiers use sophisticated measures of visual similarity, its outputs produce a sophisticated visual similarity space. The images are gridded into 60 bins in this space, with some images allowed to plot adjacently to their true locations in order to increase the plotting volume. The map is also partially annotated with short tag lists. Yellow markers point to the annotated images.