Related Objects of Interest: unlabeled
by shayan
7806 images 144 classes
25centUSA canada-1-cent-1858-1859 canada-1-cent-1881-1901 canada-1-cent-1902-1910 canada-1-cent-1911-1911 canada-1-cent-1912-1920 canada-1-cent-1920-1936 canada-1-cent-1937-1947 canada-1-cent-1948-1952 canada-1-cent-1953-1964 canada-1-cent-1965-1979 canada-1-cent-1980-1981 canada-1-cent-1982-1989 canada-1-cent-1990-1996 canada-1-cent-1992-1992 canada-1-cent-1997-2003 canada-1-cent-1999-2003 canada-1-cent-2002-2002 canada-1-cent-2003-2012 canada-1-dollar-1936-1936
by Marco
9560 images 52 classes
* 50% probability of horizontal flip * 50% probability of vertical flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down * Random Gaussian blur of between 0 and 1.75 pixels * Random brigthness adjustment of between -25 and +25 percent * Random exposure adjustment of between -15 and +15 percent * Random rotation of between -10 and +10 degrees * Random shear of between -2° to +2° horizontally and -2° to +2° vertically * Randomly crop between 0 and 15 percent of the image * Resize to 640x640 (Stretch) * Salt and pepper noise was applied to 2 percent of pixels * annotate, and create datasets * collaborate with your team on computer vision projects * collect & organize images * export, train, and deploy computer vision models * understand and search unstructured image data * use active learning to improve your dataset over time 29 30
by Samrat
5702 images 23 classes