Related Objects of Interest: ==============================, roboflow is an end-to-end computer vision platform that helps you, this dataset was exported via roboflow, object, * collaborate with your team on computer vision projects, * collect & organize images, * annotate, and create datasets, * export, train, and deploy computer vision models, * understand and search unstructured image data, * use active learning to improve your dataset over time
Top This Datasets and Models
The datasets below can be used to train fine-tuned models for this 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 this datasets below.
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 mini project
9334 images 4 classes
by SPILL
1409 images 15 classes
135 images 53 classes
by susanti
2447 images 22 classes
object * 50% probability of horizontal flip * 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 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 Signals are annotated in YOLO v5 PyTorch format. The dataset includes 2587 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 November 25, 2023 at 12:38 AM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
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 teamStar
5541 images 9 classes
by LaMaSaVe
9985 images 14 classes
object * collaborate with your team on computer vision projects * collect & organize images 0 1 3 5 ============================== Emegency Vehicle detection - v3 2023-10-27 10:18am HorizontalTricycle - v1 2023-09-15 1:28pm Roboflow is an end-to-end computer vision platform that helps you This dataset was exported via roboflow.com on October 19, 2023 at 4:47 PM GMT Vehicle Class Specification - v11 2023-10-17 8:35pm undefined
by Test
4176 images 43 classes
object * Auto-orientation of pixel data (with EXIF-orientation stripping) * Random rotation of between -45 and +45 degrees * Resize to 640x640 (Stretch) * annotate, and create datasets * 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
by keker
1722 images 149 classes
* Resize to 800x800 (Stretch) * Salt and pepper noise was applied to 0.89 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 0 1 10 100 101 102 103 104 105 106 107 108
by pp
6863 images 10 classes
by ECE434
4169 images 76 classes
9949 images 39 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Random Gaussian blur of between 0 and 5 pixels * Random exposure adjustment of between -20 and +20 percent * Random rotation of between -10 and +10 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 23 24 25 26 27 28 29 30
by Squid Game
509 images 7 classes
10000 images 38 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 ============================== A B C D E F G H I J K L M
by 1
362 images 6 classes
by LaMaSaVe
7646 images 7 classes
by LaMaSaVe
7747 images 6 classes