Related Objects of Interest: bus, truck, car, bike, * auto-orientation of pixel data (with exif-orientation stripping), * collaborate with your team on computer vision projects, * understand and search unstructured image data, ==============================, the following pre-processing was applied to each image:, visit https://github.com/roboflow/notebooks
Top Auto Datasets and Models
The datasets below can be used to train fine-tuned models for auto 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 auto datasets below.
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
by Projects
800 images 17 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 * 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, PUBG Player Detector - v6 2024-01-10 7:14pm PUBG-Players are annotated in YOLOv8 format. Roboflow is an end-to-end computer vision platform that helps you The dataset includes 897 images. The following pre-processing was applied to each image: This dataset was exported via roboflow.com on January 10, 2024 at 4:16 PM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com visit https://github.com/roboflow/notebooks
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
3280 images 21 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Salt and pepper noise was applied to 1.49 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 19 20 ============================== 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 3202 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 May 5, 2024 at 11:21 AM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com YoloPictureFromCamera - v4 2024-04-28 11:02pm YoloPictureFromCamera are annotated in YOLOv8 format.
by Jagadeeswar
2264 images 13 classes
by CSS16
4960 images 27 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 0 are annotated in YOLOv8 format. 19 20 21 22 23 24 25 26 ============================== For state of the art Computer Vision training notebooks you can use with this dataset, No image augmentation techniques were applied.
by melon
7221 images 30 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down * Random Gaussian blur of between 0 and 2.5 pixels * Resize to 640x640 (Stretch) * annotate, and create datasets * collaborate with your team on computer vision projects * export, train, and deploy computer vision models * understand and search unstructured image data * use active learning to improve your dataset over time 22 23 24 26 27 29 ============================== Axe Bazooka Gun Katana
by Yolotest
1186 images 87 classes
by grad project
523 images 40 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Resize to 640x640 (Stretch) * collaborate with your team on computer vision projects * collect & organize images * export, train, and deploy computer vision models * understand and search unstructured image data 1 19 2 20 21 23 3 4 5 6 7 8 9 ==============================
8018 images 10 classes
by custom yolo
1091 images 19 classes
640 images 82 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