Related Objects of Interest: ==============================, no entry, stop, * 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, for state of the art computer vision training notebooks you can use with this dataset,, roboflow is an end-to-end computer vision platform that helps you
Top The Datasets and Models
The datasets below can be used to train fine-tuned models for the 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 the datasets below.
by DLProject
9271 images 249 classes
by Crickets
6558 images 52 classes
* 50% probability of horizontal flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Random rotation of between -15 and +15 degrees * 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 23 24 25 26 27 28 30 31 32 33
3393 images 35 classes
roundabout -Road narrows on right Attention Please- Ban the left turn Beware of children CYCLE ROUTE AHEAD WARNING Crosswalk Dangerous Left Curve Ahead Dangerous Rright Curve Ahead Left zigzag band No Entry No_Over_Taking One way road Parking Right zigzag band Speed bump ahead Speed limit Speed limit 10 Kph Speed limit 100 Kph Speed limit 110 Kph
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
by Evgenyy
3000 images 13 classes
bicycle * 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 ============================== For state of the art Computer Vision training notebooks you can use with this dataset, Roboflow is an end-to-end computer vision platform that helps you This dataset was exported via roboflow.com on August 31, 2023 at 12:05 PM GMT capchadetect - v1 2023-08-31 10:11am visit https://github.com/roboflow/notebooks
by 4300
4300 images 47 classes
stop Ahead only Beaware of icesnow Bumpy road Children Crossing Dangerous curve left Dangerous curve right Double curve End Speed - Passing limits End no passing veh 3-5 tons End of no passing General caution Go Stright or Left Go Stright or Right Keep Left Keep Right No entry No passing No passing veh over 3-5 tons No vechiels
8775 images 178 classes
100m from concealed level crossing 2 lane usage and direction overview 200m from concealed level crossing 3 lane usage and direction overview 300m from concealed level crossing Ahead only Begin of a residential area Begin of a zone with speed limit 30 Begin of a zone with speed limit 40 Begin of expressway Begin of zone where parking is prohibited Bicycle Bus Stop Buses prohibited Camping site ahead Cars not allowed - prohibited Cattle crossing Caution, cyclists ahead Children crossing the road Circular mirror
by t
5228 images 45 classes
by Rajat Kothe
220 images 31 classes
danger stop truck Caution Pedstrian crossing ahead Children ahead - School crossing patrol Danger Double bend first to right End of the minimum required speed Low flying aircraft MERGER NO PEDESTRIANS ON RAMP No Waiting No entry for all vehicular traffic No jaywalking No vehicles over height shown Parking Raized Zebra Crossing Road hump Roundabout ahead Two-way traffic ahead
1308 images 43 classes
Ahead only Beware of ice/snow Bicycles crossing Bumpy road Children crossing Dangerous curve to the left Dangerous curve to the right Double curve End of all speed and passing limits End of no passing End of no passing by vehicles over 3.5 metric tons End of speed limit (80km/h) General caution Go straight or left Go straight or right Keep left Keep right No entry No passing No passing for vehicles over 3.5 metric tons
by Capstone v6
5011 images 7 classes
16728 images 89 classes
by benny
300 images 100 classes
ACEITE_DE_OLIVA_ESPONAL_CARBONELL ALMOND TOSCANI ARDMONA CHOPPED TOMATOES ARNOTTS_JATZ_CRACKED_PEPPER ARNOTTS_PREMIER_CHOC CHIP & NUT COOKIES ASPRO CLEAR BEANS_MEXICAN CHILLI BOAGS STGEORGE BRITA BRITA MARELLA COOL BUCKWHEAT CENOVIS_WOMENS MULTI VITAMINS&MINERALS COLES RELIANCE COLES_PEACH_SLICES COLGATE SENSITIVE COOLABAH_DRY_RED DAIRY_MILK DANDELION_NATURAL_COFEE_ALTERNATIVE EASEACOLD EXTRA VIRGIN OLIVE OIL ALTIC TRADITIONAL
by ingredients
9335 images 38 classes
* 50% probability of horizontal flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise * Random rotation of between -15 and +15 degrees * Randomly crop between 0 and 20 percent of the image * Resize to 416x416 (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 23 24 25 26 27 28 29 30
by juanjotests
118 images 71 classes
by cm
120 images 70 classes
840 images 30 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Random Gaussian blur of between 0 and 3 pixels * Random exposure adjustment of between -20 and +20 percent * Random rotation of between -3 and +3 degrees * Resize to 640x640 (Stretch) * 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 23 24 25 26 27 28 29 ==============================
3006 images 38 classes
* 50% probability of horizontal flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise * Random rotation of between -15 and +15 degrees * Randomly crop between 0 and 20 percent of the image * Resize to 416x416 (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 23 24 25 26 27 28 29 30
3006 images 38 classes
* 50% probability of horizontal flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise * Random rotation of between -15 and +15 degrees * Randomly crop between 0 and 20 percent of the image * Resize to 416x416 (Stretch) 13 14 15 16 17 18 19 20 21 22 23 24 25 26
by Dung Le
1828 images 43 classes
Ahead only Beware of ice/snow Bicycles crossing Bumpy road Children crossing Dangerous curve left Dangerous curve right Double curve End no passing veh>3.5 tons End of no passing End of speed limit (80km/h) End speed + passing limits General caution Go straight or left Go straight or right Keep left Keep right No entry No passing No passing veh over 3.5 tons
by seatbeltdet
5279 images 14 classes
seatbelt vehicle * 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 ============================== For state of the art Computer Vision training notebooks you can use with this dataset, Roboflow is an end-to-end computer vision platform that helps you Seatbelt detection - v1 2022-09-21 1:08pm passenger undefined visit https://github.com/roboflow/notebooks