Related Objects of Interest: no parking, stop, pedestrian crossing, one way, bump, intersection, traffic light, two-way traffic, animals, road narrows
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by Yolo
122 images 122 classes
All motor vehicles prohibited Animals Axle load limit Barrier Blind persons likely on road ahead Built-up area Bullock cart and hand cart prohibited Bullock cart prohibited Bump Chevron Children Compulsory ahead Compulsory ahead or turn left Compulsory ahead or turn right Compulsory cycle track Compulsory keep left Compulsory minimum speed Compulsory sound horn Compulsory turn left Compulsory turn left ahead
by MySpace
6519 images 110 classes
Advisory Speed Tab All-Way Tab BEGINS Tab Sign - Rb-84t Bicycle Route Marker Bulk Item Set Out - Furniture Bump Bump Ahead Bus Shelter - Good condition Checkerboard Both Directions Checkerboard One Direction Chevron Alignment Community Safety Zone Community Safety Zone Fines Increased Construction Ahead Contraflow Bicycle Lane Curve Deer Crossing Detour Designation Distance Do Not Enter
by MySpace
6519 images 110 classes
json Advisory Speed Tab All-Way Tab BEGINS Tab Sign - Rb-84t Bicycle Route Marker Bulk Item Set Out - Furniture Bump Bump Ahead Bus Shelter - Good condition Checkerboard Both Directions Checkerboard One Direction Chevron Alignment Community Safety Zone Community Safety Zone Fines Increased Construction Ahead Contraflow Bicycle Lane Curve Deer Crossing Detour Designation Distance
7487 images 31 classes
object -Road narrows on right Attention Please- Beware of children CYCLE ROUTE AHEAD WARNING Dangerous Left Curve Ahead Dangerous Rright Curve Ahead End of all speed and passing limits Give Way Go Straight or Turn Right Go straight or turn left Keep-Left Keep-Right Left Zig Zag Traffic No Entry Overtaking by trucks is prohibited Park Pedestrian Crossing Round-About Sag Mecburi
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
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