Apple Vision

Object Detection


Apple Vision Computer Vision Project

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Explore Dataset

The Apple Vision annotated data set contains over 350 images of naturally growing apples on an apple tree. Unlike other existing sets, this set attempted to capture apples growing on trees with different exposures of natural light during the daytime.

The training data was comprised of 77 photos taken of Peter Bloch’s home apple tree. These images were shot between July and September of 2021 on an iPhone 11 camera. After the photos were taken, they were sliced into multiple smaller images with a resolution of 360 × 640 pixels per image. This number was selected as the lowest natural resolution for a CV camera later used in this project.

This set was originally created for the ECE 31 Capstone project at Oregon State University.

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:

                            title = { Apple Vision Dataset },
                            type = { Open Source Dataset },
                            author = { },
                            howpublished = { \url{ } },
                            url = { },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { may },
                            note = { visited on 2024-06-11 },

Connect Your Model With Program Logic

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

Last Updated

2 years ago

Project Type

Object Detection



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