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IRIS RECONIGTION PFE_essai Computer Vision Project

kary

Updated 8 months ago

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Tags
Object Detection
Classes (40)
* 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
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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
IRIS60
IRIS62
IRIS63
IRIS64
IRIS65
IRIS66
IRIS67
IRIS68
IRIS69
IRIS70
IRIS71
IRIS72
IRIS73
No image augmentation techniques were applied.
Roboflow is an end-to-end computer vision platform that helps you
The dataset includes 200 images.
The following pre-processing was applied to each image:
This dataset was exported via roboflow.com on April 3, 2024 at 9:52 AM 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.

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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{
                            iris-reconigtion-pfe_essai_dataset,
                            title = { IRIS RECONIGTION PFE_essai Dataset },
                            type = { Open Source Dataset },
                            author = { kary },
                            howpublished = { \url{ https://universe.roboflow.com/kary/iris-reconigtion-pfe_essai } },
                            url = { https://universe.roboflow.com/kary/iris-reconigtion-pfe_essai },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2024-11-21 },
                            }

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