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.
YOLOv5
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{ https://universe.roboflow.com/progetto-lab-ai-syntetic-data-grape-detection/mixed_4 } },
url = { https://universe.roboflow.com/progetto-lab-ai-syntetic-data-grape-detection/mixed_4 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2023-12-04 },
}
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