Progetto LAB AI Syntetic Data Grape Detection


Object Detection

mixed_4 Computer Vision Project

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Dati reali + 1000 sintetici con sfondi materiali + 1000 sintetici con sfondo albero Nuovo algoritmo per le bounding box dei dati sintetici che rimuove le box troppo piccole e cerca di evitare le sovrapposizioni.

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.


This project has a YOLOv5 model checkpoint available for inference with Roboflow Deploy. YOLOv5 is a proven and tested, production ready, 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{ mixed_4_dataset,
    title = { mixed_4 Dataset },
    type = { Open Source Dataset },
    author = { Progetto LAB AI Syntetic Data Grape Detection },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { aug },
    note = { visited on 2023-12-04 },

Find utilities and guides to help you start using the mixed_4 project in your project.

Last Updated

3 months ago

Project Type

Object Detection




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