DropsEConectores Object Detection Dataset and Pre-Trained Model by PDO Custom Object Detection

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Explore Dataset

Here are a few use cases for this project:

Cable Management Systems: Using DropsEConectores, identify and monitor the status of various cable connections in data centers, laboratories, or factories. This can aid in optimizing cable organization and minimizing downtime due to cable issues.
Network Infrastructure Maintenance: Telecommunications and internet service providers can use the model to quickly identify whether individual cable drops or connectors are in use or available, assisting in the efficient maintenance and organization of network infrastructure.
Automated Inventory Tracking: Warehouse and storage facilities can use DropsEConectores to automatically monitor and track the inventory of cable drops and connectors on shelves, helping to maintain stock levels and simplify the reordering process.
Quality Control in Production Lines: Manufacturers of cables and connectors can use the DropsEConectores model to quickly assess the quality and usage status of produced items, ensuring only the highest quality products are shipped to customers.
Training and Education: Instructors and trainers in the field of computer networks, electrical engineering, or related disciplines can utilize the DropsEConectores model to create interactive educational materials and demonstrations, helping students gain a better understanding of proper cable management and connector usage.

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:

@misc{ dropseconectores_dataset,
    title = { DropsEConectores Dataset },
    type = { Open Source Dataset },
    author = { PDO Custom Object Detection },
    howpublished = { \url{ https://universe.roboflow.com/pdo-custom-object-detection/dropseconectores } },
    url = { https://universe.roboflow.com/pdo-custom-object-detection/dropseconectores },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { jan },
    note = { visited on 2023-12-10 },
}