Related Objects of Interest: ==============================, * annotate, and create datasets, * collaborate with your team on computer vision projects, * collect & organize images, * 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, visit https://github.com/roboflow/notebooks, * export, train, and deploy computer vision models
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 JuanFuentes
9584 images 15 classes
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
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 testing
4773 images 22 classes
button field image label text * 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 The dataset includes 1900 images. This dataset was exported via roboflow.com on April 4, 2023 at 4:34 AM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com UI Components Detection - v2 2023-02-01 11:24pm heading iframe
by autodriver
1777 images 31 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * annotate, and create datasets * collaborate with your team on computer vision projects * collect & organize images * 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 Roud Signs Rus - v1 1 The dataset includes 1748 images. The following pre-processing was applied to each image: To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com visit https://github.com/roboflow/notebooks Велосипедная дорожка Главная Дорога Жилая зона Заправочная станция Искусственная неровность Остановка для автобусов
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 ECE4300
1605 images 24 classes
object * 50% probability of horizontal flip * 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 ============================== Animal detect - v2 2023-04-25 3:38pm Animals are annotated in YOLOv8 format. For state of the art Computer Vision training notebooks you can use with this dataset, Person dataset - v3 2023-11-16 1:52am Roboflow is an end-to-end computer vision platform that helps you The dataset includes 269 images. The following augmentation was applied to create 3 versions of each source image: The following pre-processing was applied to each image: This dataset was exported via roboflow.com on April 25, 2023 at 10:09 AM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
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
by ANPR
4000 images 32 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 21 22 23 24 25 26 27 28 29 30
by DLProject
9271 images 249 classes
by OSW
3507 images 36 classes
3507 images 36 classes
by BeFit
3507 images 36 classes
740 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
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
3490 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
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
16728 images 89 classes
801 images 43 classes
by t
5228 images 45 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
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