digielecs

PALAI

Instance Segmentation

PALAI 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.

Cite This Project

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

@misc{
                            palai-17uyf_dataset,
                            title = { PALAI Dataset },
                            type = { Open Source Dataset },
                            author = { digielecs },
                            howpublished = { \url{ https://universe.roboflow.com/digielecs/palai-17uyf } },
                            url = { https://universe.roboflow.com/digielecs/palai-17uyf },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jun },
                            note = { visited on 2024-06-28 },
                            }
                        

Connect Your Model With Program Logic

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

Source

digielecs

Last Updated

10 days ago

Project Type

Instance Segmentation

Subject

rice-growth-stages-LRFK

Views: 5

Views in previous 30 days: 5

Downloads: 1

Downloads in previous 30 days: 1

License

CC BY 4.0

Classes

Vegetation Stage 15 Days Vegetation Stage 25 Days Vegetation Stage 35 Days