pro Computer Vision Project
porw
Updated 2 months ago
Classes (100)
* 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
* Equal probability of one of the following 90-degree rotations: none, clockwise, upside-down
* Random Gaussian blur of between 0 and 1.6 pixels
* Random Gaussian blur of between 0 and 10.2 pixels
* Random brigthness adjustment of between -40 and +40 percent
* Random brigthness adjustment of between -53 and +53 percent
* Random exposure adjustment of between -27 and +27 percent
* Random exposure adjustment of between -41 and +41 percent
* Random rotation of between -35 and +35 degrees
* Random rotation of between -45 and +45 degrees
* Random shear of between -16° to +16° horizontally and -22° to +22° vertically
* Random shear of between -37° to +37° horizontally and -29° to +29° vertically
* Randomly crop between 22 and 61 percent of the bounding box
* Randomly crop between 5 and 18 percent of the image
* Resize to 640x640 (Stretch)
* Salt and pepper noise was applied to 0.81 percent of pixels
* Salt and pepper noise was applied to 4.62 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
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
79
80
81
82
83
84
85
86
87
88
89
90
91
==============================
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 996 images.
The following augmentation was applied to create 3 versions of each source image:
The following pre-processing was applied to each image:
The following transformations were applied to the bounding boxes of each image:
This dataset was exported via roboflow
This dataset was exported via roboflow.com on September 27, 2024 at 1:07 PM GMT
This dataset was exported via roboflow.com on September 27, 2024 at 2:59 PM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
Tools are annotated in YOLOv8 format.
sugtoolss - v1 2024-09-27 1:07pm
sugtoolsss - v4 2024-09-27 2:46pm
tool10
tool2
tool3
tool7
tool8
tool9
tools
visit https://github.com/roboflow/notebooks
Metrics
Try This Model
Drop an image or
A description for this project has not been published yet.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
LICENSE
CC BY 4.0 If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
pro-r0uyh_dataset,
title = { pro Dataset },
type = { Open Source Dataset },
author = { porw },
howpublished = { \url{ https://universe.roboflow.com/porw/pro-r0uyh } },
url = { https://universe.roboflow.com/porw/pro-r0uyh },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { sep },
note = { visited on 2024-11-15 },
}