Roboflow Universe kary iRIS-DETECTION

iRIS-DETECTION Computer Vision Project

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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 2024-05-10 },
                            }

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Source

kary

Last Updated

a month ago

Project Type

Object Detection

Subject

IRIS

Views: 0

Downloads: 0

License

Public Domain

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 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

Object Detection