Related Objects of Interest: roboflow is an end-to-end computer vision platform that helps you, * 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,, visit https://github.com/roboflow/notebooks, * export, train, and deploy computer vision models
Top Visit Datasets and Models
The datasets below can be used to train fine-tuned models for visit 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 visit datasets below.
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 Flash0007
4181 images 55 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 test
1672 images 39 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 juanjotests
118 images 71 classes
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 KARY
1270 images 51 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 kary
400 images 40 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 ============================== For state of the art Computer Vision training notebooks you can use with this dataset, IRIS RECONIGTION PFE_essai - v1 IRISDATA_COMPL IRIS-83ep are annotated in YOLOv8 format. IRIS52 IRIS53 IRIS54 IRIS55 IRIS56 IRIS57 IRIS59
by Mon
200 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 19 20 21 22 23 24 25 26 ============================== All_Connectors - v1 2024-04-02 3:22pm Connectors-LX2z are annotated in YOLOv8 format. For state of the art Computer Vision training notebooks you can use with this dataset,
280 images 26 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 ============================== All_Connectors - v2 2024-04-12 3:34pm Connectors-LX2z are annotated in YOLOv8 format. For state of the art Computer Vision training notebooks you can use with this dataset, No image augmentation techniques were applied.
1052 images 24 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 ============================== All_connections 20240402 draft 2 - v1 2024-04-12 2:43pm Connectors-eOTd-wazh are annotated in YOLOv8 format. For state of the art Computer Vision training notebooks you can use with this dataset, No image augmentation techniques were applied. Roboflow is an end-to-end computer vision platform that helps you The dataset includes 1078 images.
by gammafest24
80 images 15 classes
* 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 5_ are annotated in YOLO v5 PyTorch format. ============================== For state of the art Computer Vision training notebooks you can use with this dataset, KPU - v11 2024-04-16 12:36am Roboflow is an end-to-end computer vision platform that helps you The dataset includes 84 images. This dataset was exported via roboflow.com on April 16, 2024 at 5:05 PM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com visit https://github.com/roboflow/notebooks
by dsdfas
80 images 15 classes
* 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 5_ are annotated in YOLO v5 PyTorch format. ============================== For state of the art Computer Vision training notebooks you can use with this dataset, KPU - v11 2024-04-16 12:36am Roboflow is an end-to-end computer vision platform that helps you The dataset includes 84 images. This dataset was exported via roboflow.com on April 16, 2024 at 5:05 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
by wellwise
9720 images 20 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 ============================== Food-items are annotated in YOLOv8 format. For state of the art Computer Vision training notebooks you can use with this dataset, No image augmentation techniques were applied. NutriScan - v2 2024-02-05 5:07pm Roboflow is an end-to-end computer vision platform that helps you The dataset includes 9736 images. The following pre-processing was applied to each image: This dataset was exported via roboflow.com on February 5, 2024 at 11:40 AM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com visit https://github.com/roboflow/notebooks
1039 images 49 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 10-10pin- 11 14 1400 15 16 17 18 19 20 21
280 images 26 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 ============================== Connectors-LX2z are annotated in YOLOv8 format. For state of the art Computer Vision training notebooks you can use with this dataset, Mix2 All Connectors - v3 2024-04-15 12:19pm No image augmentation techniques were applied.
by Rush220
1600 images 30 classes
* 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, Museum are annotated in YOLOv8 format. Roboflow is an end-to-end computer vision platform that helps you The dataset includes 1617 images. This dataset was exported via roboflow.com on April 14, 2024 at 4:59 AM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com archaeology books decorative-and-applied-arts documents graphics mineralogy museum-objects - v3 2024-04-14 1:28am
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 ==============================
by Dretn
1193 images 80 classes
* 50% probability of horizontal flip * 50% probability of vertical flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Random exposure adjustment of between -15 and +15 percent * Random rotation of between -15 and +15 degrees * Random shear of between -15° to +15° horizontally and -15° to +15° vertically * 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 24 25 26 27 28 29 30
1994 images 37 classes
* 50% probability of horizontal flip * 50% probability of vertical flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise * Resize to 180x300 (Stretch) * Salt and pepper noise was applied to 1 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 24 25 26 27 28 29 30 31
by dsad
7635 images 86 classes
object * 50% probability of horizontal flip * 50% probability of vertical 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 Gaussian blur of between 0 and 1.5 pixels * Random brigthness adjustment of between -25 and +25 percent * Random brigthness adjustment of between -30 and +30 percent * Random rotation of between -23 and +23 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 28 29 30
by Tizi
7120 images 15 classes
- - 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 Self-Driving Cars - v6 Version 4 - Prescan - 416x416 Signs are annotated in YOLOv8 format. The dataset includes 4969 images. This dataset was exported via roboflow.com on October 20- 2023 at 9-18 AM GMT To find over 100k other datasets and pre-trained models- visit https-universe.roboflow.com visit https-github.com-roboflow-notebooks
by FYP
400 images 41 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 dd
2240 images 15 classes
* 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 2256 images. This dataset was exported via roboflow.com on February 28, 2024 at 6:23 PM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com Tools are annotated in YOLOv8 format. surgical-tools-detection - v9 2024-02-28 3:23pm visit https://github.com/roboflow/notebooks
by Fun stuff
4793 images 93 classes
* 50% probability of horizontal flip * 50% probability of vertical flip * 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 * 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 22 23 24 25 26 27 28 29 30
2713 images 13 classes
object * 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, Mendeteksi Karang - v1 2023-08-12 9:54pm Roboflow is an end-to-end computer vision platform that helps you This dataset was exported via roboflow.com on August 19, 2023 at 4:44 AM GMT visit https://github.com/roboflow/notebooks
by Chess
679 images 13 classes
* 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 ============================== Chess Pieces - v24 416x416_aug 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 January 19, 2023 at 6:47 AM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com visit https://github.com/roboflow/notebooks
by Laxav
1800 images 27 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * 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 0 13 16 18 21 25 3 5 ============================== A American Sign Language Letters - v1 v1 For state of the art Computer Vision training notebooks you can use with this dataset,
by train image
5360 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 ============================== Food_detection - v1 Food_recognition Foods are annotated in YOLOv8 format. 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 5411 images. The following pre-processing was applied to each image: This dataset was exported via roboflow.com on July 3, 2023 at 2:21 PM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com visit https://github.com/roboflow/notebooks
by MY
9880 images 60 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Random rotation of between -20 and +20 degrees * 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 20 21 22 23 24 25 26 27 28 29 30