Related Objects of Interest: stop, no stopping, pedestrian crossing, roundabout, car, children, give way, no parking, roadworks, speed limit 30
Top Other Datasets and Models
The datasets below can be used to train fine-tuned models for other 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 other datasets below.
by ANPR
4000 images 32 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * 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 19 20 21 22 23 24 25 26 27 28 29 30
4320 images 127 classes
by kendrickxy
2312 images 119 classes
roundabout Bump Car breaking Children Crosswinds Curve Cyclist crossing Cyclists Dip Domestic animals End of all previously signed restrictions End of no overtaking End of no overtaking by heavy goods vehicles End of no parking zone End of priority road End of speed limit 30 End of speed limit zone 30 Entering city Exiting city Falling rocks
by Raj Das
6040 images 36 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * 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 18 19 20 21 22 23 24 25 26 27 28 29 30
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
5574 images 85 classes
600 images 48 classes
elephant fox monkey pig tiger * Auto-orientation of pixel data (with EXIF-orientation stripping) * 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 19 20 21 22 23 24 25
60 images 50 classes
Bad road surface Cattle on the road. Children Children Walking Crossing for pedestrians Crossroad side roads on the left and right Crossroad with a side road on the left Crossroad with side road on the right. Curve to the right Danger with no specific traffic sign. Deer on the road or unsafe for animal Dip in the road Double Curve Falling rocks Give away Give way Limited height Loose chippings on the road surface Low-flying aircrafts. Narrowing on the left
200 images 55 classes
by bcvt
9760 images 33 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Random Gaussian blur of between 0 and 1.5 pixels * Random rotation of between -15 and +15 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 21 22 23 24 25 26 27 28 29 30
by SnowWhite
200 images 85 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Resize to 160x160 (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 01 03 04 05 07 09 19 20 21 22 23 24
by kaushik
8015 images 78 classes
* 50% probability of horizontal flip * 50% probability of vertical flip * Random Gaussian blur of between 0 and 3.25 pixels * Randomly crop between 0 and 33 percent of the image * 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 100 120 21 22 23 24 25 26 27 28
1545 images 22 classes
1545 images 22 classes
by project
142 images 79 classes
Ahead only Autotoll booth Autotoll traffic lane Bicycle / tricycle route Cross-harbour taxi stand, used with Sign 82 Cycling restriction - cyclists must dismount and push their cycles End of New Territories taxis operating area End of an expressway End of bus lane End of cycling restriction End of the prohibition, restriction or warning End of ʻno stoppingʼ restriction Give way to traffic on major road Green minibus stand Keep left Keep right Lantau taxi stand, used with Sign 82 Left lane shows bus lane for franchised and other buses during the time shown Left lane shows bus lane for franchised buses only during the time shown Length over which the prohibition or hazard exists