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Related Objects of Interest: stop , hospital , pedestrian crossing , cattle , school ahead , barrier ahead , cycle crossing , give way , no parking , no stopping
Top 35 Datasets and Models
The datasets below can be used to train fine-tuned models for 35 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 35 datasets below.
395 images
300 images
Barrier AheadCattleCycle CrossingParking Lot CarsParking Lot CycleParking Lot Scooter and MotorCyclePedestrian CrossingPedestrian ProhibitedPetrol Pump/ Gas StationPublic TelephoneResting PlaceRight Hair Pin BendRight Hand CurveRight Reverse BendRoad Wideness AheadRound AboutSchool AheadSlippery RoadSpeed Limit (10)Speed Limit (100)
250 images
1428 images1 model
3136 images
614 images1 model
Speed Limit (100)Speed Limit (110)Speed Limit (120)Speed Limit (130)Speed Limit (140)Speed Limit (150)Speed Limit (35)Speed Limit (50)Speed Limit (55)Speed Limit (60)Speed Limit (65)Speed Limit (70)Speed Limit (75)Speed Limit (80)Speed Limit (90)Speed Limit 30Speed Limit Expire(40)Speed Limit Expire(50)Speed Min (100)Speed Min (110)
8015 images1 model
* 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 time1001202122232425262728
8009 images
* 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-02122232425262728
640 images
* 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 time192021222324252627282930
7847 images
- Auto-contrast via contrast stretching- Auto-orientation of pixel data (with EXIF-orientation stripping)- 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 7 percent of pixels- collaborate with your team on computer vision projects- understand and search unstructured image data- use active learning to improve your dataset over time2324252627282930313233
1364 images
Barrier AheadCycle CrossingGive WayHorn ProhibitedHospitalLeft Hair Pin BendLeft hand curveMen at WorkNo ParkingNo StoppingParking Lot CarsParking Lot CyclePedestrian CrossingPedestrian ProhibitedPetrol Pump- Gas StationRight Hair Pin BendRight Hand CurveRight Reverse BendRoad Wideness AheadSchool Ahead
4201 images
