DataLab

MineApple Fruit Tracking

Object Detection

Roboflow Universe DataLab MineApple Fruit Tracking
2

MineApple Fruit Tracking Computer Vision Project

TRY THIS MODEL
Drop an image or

Images

1001 images
Explore Dataset

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{
                            mineapple-fruit-tracking_dataset,
                            title = { MineApple Fruit Tracking Dataset },
                            type = { Open Source Dataset },
                            author = { DataLab },
                            howpublished = { \url{ https://universe.roboflow.com/datalab-5zgq5/mineapple-fruit-tracking } },
                            url = { https://universe.roboflow.com/datalab-5zgq5/mineapple-fruit-tracking },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-04-29 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the MineApple Fruit Tracking project in your project.

Source

DataLab

Last Updated

9 months ago

Project Type

Object Detection

Subject

apples

Views: 275

Views in previous 30 days: 38

Downloads: 19

Downloads in previous 30 days: 5

License

CC BY 4.0

Classes