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Top Stop Sign Computer Vision Models
The models below have been fine-tuned for various stop sign detection tasks. You can try out each model in your browser, or test an edge deployment solution (i.e. to an NVIDIA Jetson). You can use the datasets associated with the models below as a starting point for building your own stop sign detection model.
At the bottom of this page, we have guides on how to count stop signs in images and videos.
1149 images2 models
crosswalksignslippery roadstopEDSanimal crossingattentionbeware of icebumpy roaddangerous curve both leftdangerous curve both rightdangerous curve to the leftdangerous curve to the rightdangerous curves to the leftend ofno passingentry from right to main roadgo from both sidesgo straight and lrftgo straight and rightkeep left
142 images1 model
Ahead onlyAutotoll boothAutotoll traffic laneBicycle / tricycle routeCross-harbour taxi stand, used with Sign 82Cycling restriction - cyclists must dismount and push their cyclesEnd of New Territories taxis operating areaEnd of an expresswayEnd of bus laneEnd of cycling restrictionEnd of the prohibition, restriction or warningEnd of ʻno stoppingʼ restrictionGive way to traffic on major roadGreen minibus standKeep leftKeep rightLantau taxi stand, used with Sign 82Left lane shows bus lane for franchised and other buses during the time shownLeft lane shows bus lane for franchised buses only during the time shownLength over which the prohibition or hazard exists
523 images2 models
'Animal-Crossing-Sign''Bicycle-Crossing-Sign''Do-Not-Enter''Hospital-Sign''Keep-Left-Sign''Keep-Right-Sign''Lane-Use-Control''Merge-Sign''No Left Trun''No RightTrun''No-Overtaking-Sign''No-Parking''No-U-Trun-Sign''One-Way-Sign''Pedestrian-Crossing-Sign''Public-Phone''Railroad-Crossing''Road-Work-Ahead-Sign''School-Zone-Sign''Slippery-Road-Sign'
3480 images1 model
* 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 time2223242526==============================For state of the art Computer Vision training notebooks you can use with this dataset,Road Sign Detector - v7 Add blur and noiseRoboflow is an end-to-end computer vision platform that helps you
