Related Objects of Interest: unlabeled, cubism, romanticism, image, none, expressionism, realism, data, b-a1, b-a2
by JPMtest
878 images 13 classes
by ArtAncestry
5533 images 44 classes
Abstract art African Art Amazonian Art Ancient Egyptian and Nubian Art Ancient and Traditional Chinese Art Anime art Art Nouveau paintings Art deco paintings Baroque paintings Cave Art Constructivsm art Contemporary art Fauvism paintings Gothic art Graffiti Impressionism and Post-Impressionism Indochristian art Islamic Art Japanese Edo Period Japanese Heian Period
by Eric Xiong
2311 images 11 classes
by upm
913 images 115 classes
B-A1 B-A1 B-A3 B-A1 B-A3 G-A4 G-B1 R-C4 R-C6 Y-B2 Y-B4 Y-B5 B-A1 B-A3 G-A4 G-B1 R-C4 R-C6 Y-B3 Y-B5 B-A1 B-A3 G-A4 G-B4 R-A5 R-C3 Y-B2 Y-C4 B-A1 B-A3 G-A4 G-B4 R-A5 R-C6 Y-B2 B-A1 B-A3 G-A4 G-B4 R-A5 R-C6 Y-B2 Y-C5 B-A1 B-A3 G-B1 G-C2 R-C4 R-C6 Y-B3 Y-B5 B-A1 B-A3 G-B1 G-C5 R-A5 R-C6 Y-B2 Y-B5 B-A1 B-A3 G-B3 G-B5 R-B4 R-C3 Y-B2 Y-C4 B-A1 B-A3 G-C3 G-C4 R-A5 R-C6 Y-B2 Y-B5 B-A1 G-A2 R-B1 Y-B2 B-A2 B-A2 B-B2 G-A1 G-C1 R-A3 R-B4 Y-A4 Y-B5 B-A2 B-C3 G-A1 G-C1 R-A3 R-C4 Y-A4 Y-C5 B-A2 G-B2 R-A1 Y-B1 B-A3 B-A3 B-B1 G-B3 G-B5 R-B4 R-C2 Y-C1 Y-C4 B-A3 B-B1 G-B3 G-B5 R-C2 R-C5 Y-C1 Y-C4 B-A3 B-B1 G-B5 G-C2 R-B4 R-C5 Y-C1 Y-C4
by stefanpublic
1610 images 10 classes
by Calevala
504 images 10 classes
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 Adam Menges
3816 images 12 classes
by XWorkspace
1940 images 16 classes
by Andre
1634 images 8 classes