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IRIS RECONIGTION PFE_essai Computer Vision Project

kary

Updated 7 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
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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 2024-11-13 },
                            }

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