Detection DL Computer Vision Project
Updated a year ago
Metrics
Here are a few use cases for this project:
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Quality Control for Manufacturing: The model can be used by industries to automate the process of quality control. NG (No Good) and FG (Final Good) features allow for the detection of faulty or substandard products in a production line, hence ensuring product consistency and quality.
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Electronic Device Inspection: The model could be used in inspecting electronic device components. By providing a close up of the device or individual components, it can detect if the element is a pass (FG) or a fail (NG), assisting in maintaining quality assurance standards.
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Food and Beverage Industry: This model could be utilized for inspecting food items during manufacturing. Using the definitions for NG and FG, it can detect defected, spoiled, or improperly prepared food products on the production line.
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Pharmaceutical Quality Control: It can be involved in the process of pill or medicine manufacturing, identifying any imperfect or defective units (NG) on the production line.
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Recycling Industry: The model can help in sorting recyclables, identifying non-recyclable items (NG) and recyclable items (FG), thus optimizing the recycling process.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
detection-dl_dataset,
title = { Detection DL Dataset },
type = { Open Source Dataset },
author = { Mim },
howpublished = { \url{ https://universe.roboflow.com/mim-cz2mx/detection-dl } },
url = { https://universe.roboflow.com/mim-cz2mx/detection-dl },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-12-23 },
}