by Work
4514 images 194 classes
* 50% probability of horizontal flip * Auto-contrast via histogram equalization * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down * Random Gaussian blur of between 0 and 2.5 pixels * Random brigthness adjustment of between -25 and +25 percent * Random exposure adjustment of between -16 and +16 percent * Random rotation of between -12 and +12 degrees * Random shear of between -12° to +12° horizontally and -10° to +10° vertically * Randomly crop between 0 and 20 percent of the bounding box * Resize to 640x640 (Stretch) * Salt and pepper noise was applied to 5 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 100 101 102
1000 images 5305 classes
748 images 4744 classes