Roboflow Universe KFindlater finger lime finder

finger lime finder Computer Vision Project

Download this Dataset Try Pre-Trained Model

TRY THIS MODEL

Drop an image or

browse your device

Images

90 images

Explore Dataset

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).

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{ 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 2023-12-04 },
}