Related Objects of Interest: * annotate, and create datasets, * auto-orientation of pixel data (with exif-orientation stripping), * 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, ==============================, for state of the art computer vision training notebooks you can use with this dataset,, roboflow is an end-to-end computer vision platform that helps you
1 - 30 of 100k+
by sanu
87 images 496 classes
pipe yellow (1") CPVC PRO 45 DEG ELBOW (1") CPVC PRO COUPLER SDR 11 (1") CPVC PRO F.A.P.T SDR 11 (1") CPVC PRO PIPE CTS SDR11 5M (1") CPVC PRO TEE SDR 11 (1-1/4") CPVC PRO 45 DEG ELBOW (1-1/4") CPVC PRO 90 DEG ELBOW (1-1/4") CPVC PRO COUPLER SDR 11 (1-1/4") CPVC PRO F.A.P.T SDR 11 (1-1/4") CPVC PRO PIPE CTS SDR 11 5M (1-1/4") CPVC PRO TEE SDR 11 (1-1/4"x1") CPVC PRO COUPLER SDR 11 (1-1/4"x1") CPVC PRO TEE SDR 11 (3/4") CPVC PRO M.A.B.T SDR 11 (3/4") CPVC PRO PIPE CTS SDR 11 5M (3/4"x1/2") CPVC PRO BRS FPT 90 ELB (3/4"x1/2") CPVC PRO BRS FPT TEE SDR 11 (Brass)
by ttest
8487 images 54 classes
* 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 * Grayscale (CRT phosphor) * Resize to 416x416 (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 22 23 24 25 26 27 28 29 30
215 images 6 classes
by Road Traffic
9866 images 398 classes
complementary--accident-area--g3 complementary--both-directions--g1 complementary--buses--g1 complementary--chevron-left--g1 complementary--chevron-left--g2 complementary--chevron-left--g3 complementary--chevron-left--g4 complementary--chevron-left--g5 complementary--chevron-right--g1 complementary--chevron-right--g3 complementary--chevron-right--g4 complementary--chevron-right--g5 complementary--chevron-right-unsure--g6 complementary--distance--g1 complementary--distance--g2 complementary--distance--g3 complementary--except-bicycles--g1 complementary--extent-of-prohibition-area-both-direction--g1 complementary--go-left--g1 complementary--go-right--g1
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 Fun stuff
4793 images 93 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 * Resize to 640x640 (Stretch) * 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 22 23 24 25 26 27 28 29 30
by dsad
7635 images 86 classes
object * 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 * Random Gaussian blur of between 0 and 1.5 pixels * Random brigthness adjustment of between -25 and +25 percent * Random brigthness adjustment of between -30 and +30 percent * Random rotation of between -23 and +23 degrees * 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 28 29 30
by Deneme
3362 images 694 classes
* Auto-contrast via contrast stretching * 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 shear of between -14° to +14° horizontally and -15° to +15° vertically * Resize to 800x800 (Stretch) * Salt and pepper noise was applied to 1.13 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 100 101 102 103 104 105 106 107
by Deneme
3256 images 692 classes
* Auto-contrast via contrast stretching * 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 shear of between -14° to +14° horizontally and -15° to +15° vertically * Resize to 800x800 (Stretch) * Salt and pepper noise was applied to 1.13 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 100 101 102 103 104 105 106 107
by Mostra
41773 images 401 classes
complementary--accident-area--g3 complementary--both-directions--g1 complementary--buses--g1 complementary--chevron-left--g1 complementary--chevron-left--g2 complementary--chevron-left--g3 complementary--chevron-left--g4 complementary--chevron-left--g5 complementary--chevron-right--g1 complementary--chevron-right--g3 complementary--chevron-right--g4 complementary--chevron-right--g5 complementary--chevron-right-unsure--g6 complementary--distance--g1 complementary--distance--g2 complementary--distance--g3 complementary--except-bicycles--g1 complementary--extent-of-prohibition-area-both-direction--g1 complementary--go-left--g1 complementary--go-right--g1
1 - 30 of 100k+