Roboflow Universe KFindlater finger lime finder

finger lime finder Computer Vision Project

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An object detection model for locating Australian Finger Limes on a white roller conveyor for fruit sorting applications.

Trained on green (dark and pale) varieties mostly, with some small amount of red/darker limes.

Expected to be used for pre-processing/location of ROIs for further heuristic/classical machine vision for analysis of lime characteristics (colour, hue, skin quality etc).

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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{
                            finger-lime-finder_dataset,
                            title = { finger lime finder Dataset },
                            type = { Open Source Dataset },
                            author = { KFindlater },
                            howpublished = { \url{ https://universe.roboflow.com/kfindlater/finger-lime-finder } },
                            url = { https://universe.roboflow.com/kfindlater/finger-lime-finder },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-05-16 },
                            }