Related Objects of Interest: stop, no stopping, parking, roundabout, give way, no entry, turn left, speed limit 30, slippery road, turn right
Top End Datasets and Models
The datasets below can be used to train fine-tuned models for end 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 end datasets below.
by skynet
1028 images 8 classes
9647 images 87 classes
Bicycle lane Bumps Bumps ahead Bus stop Camera operation zone Caution construction works ahead Caution damaged roads Caution drive slowly Caution flagman ahead Chevron (left) Chevron (right) Children Cow nearby Crossroad Crossroad on the left Crossroad on the right Crosswind area Danger Ahead Detourfollow arrow Double Bend to Left Ahead
2564 images 58 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Resize to 1000x1000 (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
by sridhar
875 images 53 classes
3240 images 21 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 ============================== For state of the art Computer Vision training notebooks you can use with this dataset, No image augmentation techniques were applied. Roboflow is an end-to-end computer vision platform that helps you The dataset includes 3385 images. The following pre-processing was applied to each image: This dataset was exported via roboflow.com on May 24, 2023 at 4:29 PM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com Traffic-Signs are annotated in YOLOv8 format. new_classes - v8 2023-05-24 7:26pm
by LAPPLEAING
28 images 30 classes
No entry for all vehicles No entry for animal-drawn vehicles No entry for bicycles and mopeds No entry for buses No entry for goods vehicles No entry for handcarts No entry for motor cycles No entry for pedestrians No entry for power driven agricultural vehicles No entry for trailers other than semitrailers or single axle trailer No entry for vehicles having one axle load exceedingshowen 2t limit No entry for vehicles with cross weight exceeding showen 5t limit No entry for vehicles with overall height exceeding 3 No entry for vehicles with overall height exceeding 3.5m limit No entry for vehicles with overall length exceeding 10 limit No entry for vehicles with overall width exceeding 2m limit No left turn No overtaking by all vehicels No overtaking by goods vehicels No rightturn
by Bluecover
1054 images 35 classes
by Bluecover
1054 images 35 classes
by Bluecover
1038 images 34 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
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
by Kier
961 images 41 classes
Give-Priority Hospital Parking-area Parking-or-Stopping-Prohibited Passing-Prohibited Stop-Sign Turn-Left-Prohibited Turn-Right-Prohibited U-turn-Prohibited crosswalk-ahead dead-end intersection-of-main-route-and-sub-route-from-the-left intersection-of-main-route-and-sub-route-from-the-right main-route-ahead main-route-and-sub-route-intersection mandatory-Direction-to-the-Left-Side mandatory-Forward-Direction mandatory-Left-Turn mandatory-Right-Turn mandatory-Turn-Right-or-Left
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
9900 images 56 classes
4320 images 127 classes
by Transport
1946 images 7 classes
by Transport
1996 images 6 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