Deteksi Object Logistik Pendakian

Deteksi Logistik Pendakian

Object Detection

Deteksi Logistik Pendakian Computer Vision Project

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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{ deteksi-logistik-pendakian_dataset,
    title = { Deteksi Logistik Pendakian Dataset },
    type = { Open Source Dataset },
    author = { Deteksi Object  Logistik Pendakian },
    howpublished = { \url{ https://universe.roboflow.com/deteksi-object-logistik-pendakian/deteksi-logistik-pendakian } },
    url = { https://universe.roboflow.com/deteksi-object-logistik-pendakian/deteksi-logistik-pendakian },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { feb },
    note = { visited on 2023-12-09 },
}

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Last Updated

10 months ago

Project Type

Object Detection

Subject

Bag-mineral-bottle-lamp-headlamp

Classes

Air Mineral, Alat Penerangan, Jaket, Jaket Gunung, Lampu Penerangan, Tas Gunung, b

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License

CC BY 4.0