iRIS-DETECTION Computer Vision Project
kary
Updated 8 months ago
90
views0
downloadsTags
Classes (51)
* 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
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
==============================
For state of the art Computer Vision training notebooks you can use with this dataset,
IRIS are annotated in YOLO v5 PyTorch format.
IRIS-Recognition - v6 2024-03-29 3:21pm
No image augmentation techniques were applied.
Roboflow is an end-to-end computer vision platform that helps you
The dataset includes 507 images.
The following pre-processing was applied to each image:
This dataset was exported via roboflow.com on March 29, 2024 at 2:22 PM GMT
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
visit https://github.com/roboflow/notebooks
A description for this project has not been published yet.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
LICENSE
Public Domain If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
iris-detection-y2xw9_dataset,
title = { iRIS-DETECTION Dataset },
type = { Open Source Dataset },
author = { kary },
howpublished = { \url{ https://universe.roboflow.com/kary/iris-detection-y2xw9 } },
url = { https://universe.roboflow.com/kary/iris-detection-y2xw9 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { mar },
note = { visited on 2024-11-23 },
}