FlyLens

FlyLensV5

Object Detection

FlyLensV5 Computer Vision Project

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Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            flylensv5_dataset,
                            title = { FlyLensV5 Dataset },
                            type = { Open Source Dataset },
                            author = { FlyLens },
                            howpublished = { \url{ https://universe.roboflow.com/flylens/flylensv5 } },
                            url = { https://universe.roboflow.com/flylens/flylensv5 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jan },
                            note = { visited on 2024-05-01 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the FlyLensV5 project in your project.

Source

FlyLens

Last Updated

4 months ago

Project Type

Object Detection

Subject

Vine_diseases

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Downloads: 7

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License

CC BY 4.0

Classes

0:leaf_healthy 1 leaf_esca 2:leaf_blackrot 3:leaf_mildew 4:leaf_powdery_mildew 5:leaf_erineum 6:leaf_flavescence_doree