Related Objects of Interest: * annotate, and create datasets, * collaborate with your team on computer vision projects, * collect & organize images, * understand and search unstructured image data, roboflow is an end-to-end computer vision platform that helps you, the following pre-processing was applied to each image:, to find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com, visit https://github.com/roboflow/notebooks, * export, train, and deploy computer vision models, * use active learning to improve your dataset over time
Top Random Datasets and Models
The datasets below can be used to train fine-tuned models for random detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.
At the bottom of this page, we have guides on how to train a model using the random datasets below.
by James Mixon
5399 images 73 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Random rotation of between -5 and +5 degrees * Randomly crop between 0 and 30 percent of the image * Resize to 640x352 (Fit within) * Salt and pepper noise was applied to 0 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 0 1 10 100 1000 10th Spot 11 12 13
106 images 3398 classes
7036 images 6 classes
by HADJEM
1238 images 103 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Random brigthness adjustment of between -1 and +1 percent * Random rotation of between -1 and +1 degrees * Random shear of between -1° to +1° horizontally and -0° to +0° vertically * 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
259 images 11 classes
by go4av05
8659 images 40 classes
* Random Gaussian blur of between 0 and 2.5 pixels * Random brigthness adjustment of between -25 and +25 percent * Random exposure adjustment of between -25 and +25 percent * 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 17 18 19 20 21 22 23 24 25 26
by Test
995 images 10 classes
by UQO
5995 images 15 classes
Centre Line- Alligator Centre Line- Single and Multiple Flushing Long Meander and Midlane Longitudinal Wheel Track- Single and Multiple Longitudinal Wheel Track-Alligator Pavement Edge- Single and Multiple Pavement Edge-Alligator Pothole Random-Map Ravelling and C- Agg- Loss Rippling and Shoving Transverse- Alligator Transverse- Half- Full and Multiple Wheel Track Rutting
by UIU
7810 images 10 classes
by college
3480 images 27 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Random Gaussian blur of between 0 and 2.5 pixels * Random brigthness adjustment of between -25 and +25 percent * Resize to 640x640 (Stretch) * Salt and pepper noise was applied to 14 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 ============================== For state of the art Computer Vision training notebooks you can use with this dataset, Road Sign Detector - v7 Add blur and noise Roboflow is an end-to-end computer vision platform that helps you
1760 images 38 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Random shear of between -15° to +15° horizontally and -15° to +15° vertically * Resize to 416x416 (Stretch) * Salt and pepper noise was applied to 4 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 21 22 23 24 25 26 27 28 29 30
by Naer
5759 images 40 classes
* Random brigthness adjustment of between -25 and +25 percent * 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 * understand and search unstructured image data 21 22 23 A B C D E F G H I Isyarat - v2 2023-05-09 12:25am J
by Naer
8478 images 53 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Grayscale (CRT phosphor) * Random brigthness adjustment of between -25 and +25 percent * Random exposure adjustment of between -25 and +25 percent * 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 24 25 26 27 28 29 30 31
by Thomas
2086 images 11 classes
by pothole
7814 images 10 classes
by MySpace
3756 images 15 classes
Centre Line- Alligator Centre Line- Single and Multiple Flushing Long Meander and Midlane Longitudinal Wheel Track- Single and Multiple Longitudinal Wheel Track-Alligator Pavement Edge- Single and Multiple Pavement Edge-Alligator Pothole Random-Map Ravelling and C- Agg- Loss Rippling and Shoving Transverse- Alligator Transverse- Half- Full and Multiple Wheel Track Rutting
by recipeVision
1995 images 47 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Random rotation of between -15 and +15 degrees * Random rotation of between -37 and +37 degrees * 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 31
by UM
1027 images 14 classes