yolov7Segmentation Computer Vision Project
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Here are a few use cases for this project:
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Kitchen Item Recognition System: This model can be used in a smart kitchen system to identify and keep track of items such as bowls, utensils, and containers.
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Advanced Home Cleaning Robots: This model can enhance robot vacuum cleaners by helping them avoid specific objects (e.g., bowls) on surfaces like floors or tables during the cleaning process and avoid potential damage to household items.
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Object Detection in Warehouses: Warehouse logistics could take advantage of this model to ensure that items are correctly sorted and organized, and their location correctly identified at all times.
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Cafe and Restaurant Workflow Efficiency: Automation in cafes or restaurants could be improved, identifying kitchenware in different parts of the kitchen and analyzing patterns for workflow optimization.
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Augmented Reality Applications: This model could be used in AR cooking apps to recognize kitchenware and showcase digital recipes or instructions right on real objects for easier and more interactive cooking experiences.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
yolov7segmentation_dataset,
title = { yolov7Segmentation Dataset },
type = { Open Source Dataset },
author = { AISegmetationBowl },
howpublished = { \url{ https://universe.roboflow.com/aisegmetationbowl-na9nq/yolov7segmentation } },
url = { https://universe.roboflow.com/aisegmetationbowl-na9nq/yolov7segmentation },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { nov },
note = { visited on 2024-11-22 },
}