Related Objects of Interest: * 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 following pre-processing was applied to each image:
Top 22 Datasets and Models
The datasets below can be used to train fine-tuned models for 22 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 22 datasets below.
by ocrdetection
325 images 132 classes
dot * 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 - 0 1 19 2 20 21 22 23 24 25
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 school
674 images 200 classes
99 Original # 1 99 Original # 10 99 Original # 11 99 Original # 12 99 Original # 13 99 Original # 14 99 Original # 15 99 Original # 16 99 Original # 17 99 Original # 18 99 Original # 19 99 Original # 2 99 Original # 20 99 Original # 21 99 Original # 22 99 Original # 23 99 Original # 24 99 Original # 25 99 Original # 26 99 Original # 27
5425 images 43 classes
A-1 Niebezpieczny zakre-t w prawo A-2 Niebezpieczny zakre-t w lewo A-3 Niebezpieczne zakre-ty pierwszy w prawo A-4 Niebezpieczne zakre-ty pierwszy w lewo A-5 Skrzyz-owanie dro-g A-7 Usta-p pierwszen-stwa A-8 Skrzyz-owanie o ruchu okre-z-nym B-1 Zakaz ruchu w obu kierunkach B-2 Zakaz wjazdu B-20 STOP B-21 Zakaz skre-cania w lewo B-22 Zakaz skre-cania w prawo B-23 Zakaz zawracania B-25 Zakaz wyprzedzania B-27 Koniec zakazu wyprzedzania B-33 Ograniczenie pre-dkos-ci 100 km/h B-33 Ograniczenie pre-dkos-ci 20 km/h B-33 Ograniczenie pre-dkos-ci 30 km/h B-33 Ograniczenie pre-dkos-ci 40 km/h B-33 Ograniczenie pre-dkos-ci 50 km/h
by kaushik
8015 images 78 classes
* 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 100 120 21 22 23 24 25 26 27 28
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
5606 images 36 classes
by plural
2640 images 170 classes
* 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 100 101 102 103 104 105 106 107 108 109 110 111 112