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digital-colour-assistant/5 (latest)
Digital colour assistant Computer Vision Project
Datahunt
Updated 2 years ago
151
views7
downloadsTags
Classes (43)
bathtub
bed
bed lamp
bedlamp
cammode
chair
chair\
chimney
couch
door
flloor
floor
floor'
floor\
frame
kitchen cubboard
kitchen cuboard
kitchencubbord
mirror
other
other item
other items
otherietm
otheritem
otheritem'
otheritems
otherritem
photoframe
roof
sink
sinl
sofa
tv
walframe
wall
wall'
wall\
wallframe
wallframew
wallframr
walls-tv-sofa-window-chair
wallsink
window
Metrics
mAP is equal to the average of the Average Precision metric across
all
classes in a
model.
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mAP
Precision measures how often your model's predictions are correct.
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Precision
Recall measures what percentage of relevant labels were successfully
identified.
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Recall
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Description
Here are a few use cases for this project:
-
Interior Design Planning: The model can be used to create an interactive tool for interior designers to better visualize their concepts. By identifying specific objects in an image, it would assist in rearranging furniture, choosing suitable wall colors, positioning artworks, etc., in a digital prototype of a space.
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E-commerce Recommendation: Retailers could use the model to recommend products to their customers. By identifying furniture and other items in a customer's current setup, e-commerce platforms can suggest products that match the customers' style and living space.
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Real Estate Virtual Tours: Real estate agents could use this model to enhance their virtual tours. The model can identify individual elements in a property, allowing potential buyers to better understand the space's layout and even plan their furniture arrangement.
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Autonomous Cleaning Robots: This model can be used in smart home devices such as autonomous vacuum cleaners. By accurately identifying furniture and other items, the robot can navigate through a space more effectively, avoiding obstacles and ensuring a thorough job.
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Home Inventory Management: The model could be used to build an application for home inventory management. It could be used to automatically identify and keep track of items in different rooms, aiding in organizing and locating possessions, or preparing insurance documents.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Cite This Project
LICENSE
CC BY 4.0
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
digital-colour-assistant_dataset,
title = { Digital colour assistant Dataset },
type = { Open Source Dataset },
author = { Datahunt },
howpublished = { \url{ https://universe.roboflow.com/datahunt/digital-colour-assistant } },
url = { https://universe.roboflow.com/datahunt/digital-colour-assistant },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { apr },
note = { visited on 2025-03-07 },
}
