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, visit https://github.com/roboflow/notebooks
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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 Binus
3400 images 14 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 ============================== Flower Detection - v2 2022-05-18 4:51pm 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 November 22, 2023 at 12:24 PM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com images visit https://github.com/roboflow/notebooks
by Chess
2240 images 85 classes
* annotate, and create datasets * annotate, and create datasets * collaborate with your team on computer vision projects * annotate, and create datasets * collect & organize images * annotate, and create datasets * collect & organize images * use active learning to improve your dataset over time * annotate, and create datasets * collect & organize images ============================== * annotate, and create datasets * collect & organize images For state of the art Computer Vision training notebooks you can use with this dataset, * annotate, and create datasets * collect & organize images This dataset was exported via roboflow.com on November 17, 2023 at 1:21 PM GMT * annotate, and create datasets * export, train, and deploy computer vision models * annotate, and create datasets * understand and search unstructured image data * annotate, and create datasets * understand and search unstructured image data ============================== * annotate, and create datasets * use active learning to improve your dataset over time * annotate, and create datasets * use active learning to improve your dataset over time visit https://github.com/roboflow/notebooks * annotate, and create datasets ============================== * annotate, and create datasets ============================== Ajedrez - v5 2023-11-17 2:15pm * annotate, and create datasets ============================== For state of the art Computer Vision training notebooks you can use with this dataset, * annotate, and create datasets ============================== visit https://github.com/roboflow/notebooks * annotate, and create datasets Ajedrez - v5 2023-11-17 2:15pm * annotate, and create datasets For state of the art Computer Vision training notebooks you can use with this dataset, * annotate, and create datasets This dataset was exported via roboflow.com on November 17, 2023 at 1:21 PM GMT * annotate, and create datasets visit https://github.com/roboflow/notebooks
by AI
2240 images 34 classes
object * 50% probability of horizontal flip * 50% probability of vertical flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Resize to 640x640 (Stretch) * annotate, and create datasets * annotate, and create datasets * collect & organize images * annotate, and create datasets * understand and search unstructured image data * 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 23 24 24 25 26
by Marco
9560 images 52 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 * Random Gaussian blur of between 0 and 1.75 pixels * Random brigthness adjustment of between -25 and +25 percent * Random exposure adjustment of between -15 and +15 percent * Random rotation of between -10 and +10 degrees * Random shear of between -2° to +2° horizontally and -2° to +2° vertically * Randomly crop between 0 and 15 percent of the image * Resize to 640x640 (Stretch) * Salt and pepper noise was applied to 2 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 29 30
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