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Loreal_HairColor_Dataset Computer Vision Project

COCO conversion

Updated a year ago

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Tags
Object Detection
Classes (45)
0
C-N 6-1 DARK ASH BLONDE
C-NTR 3 NEW
C-NTR 3-6 NEW
C-NTR 5-3 NEW
C-NTR 6-34 NEW
CAS C-G 200 EBONY BLACK
CAS C-G 300 DARKEST BROWN
CAS C-G 323 DARK CHOC
CAS C-G 360 BLACK CHERRY
CAS C-G 400 BROWN
CAS C-G 500 LIGHT BROWN
CAS C-G 513 ICED TRUFFLE
CAS C-G 535 CHOCOLATE
CAS C-G 550 MAHOGANY
CAS C-G 600 DARK BROWN
CAS C-G 630 CARAMEL
CAS C-G 700 BLONDE
CAS C-G OTHER
CN DARK BLONDE 6
CN FROSTY DARK 4-15
CN GOLDEN BROWN 4-3
CN OTHER
CN PAK 1 NOIR-BLACK
CN PAK 4 CH BROWN
CN PAK 4-6 CH ROUBURGUNDY
CN RICH CHOCO 5 1-2
COLOR NATURALS PAKISTAN EN 7-1 BL CEN
COLOR NATURALS PAKISTAN GB 5 CH CL-LIGHT BROWN
COLOR NATURALS PAKISTAN GB 7 BL
EXC 3 DARK CHESTNUT BROWN
EXC 4 BROWN CHATAIN
EXC 4-3 GOLDEN BROWN
EXC 5-1 PROFOUND LIGHT BR
EXC 5-3 LIGHT GOLDEN-BR
EXC 6-1 DARK ASH BLONDE
EXCELL F-GB-AR 8 BL CL
EXCELLENCE 6 DARK BLONDE
EXCELLENCE 7 BLONDE
EXCELLENCE 7-1 ASH BLONDE
EXCELLENCE OTHER
EXCL 6-7 CHOCOLATE BROWN
EXCLLENCE 5 LIGHT BROWN
EXCLLENCE 7-7 HONEY-BROWN
Hair Color
Description

Here are a few use cases for this project:

  1. Personalized Shopping Apps: This computer vision model can be used in shopping apps for hair products, to automatically identify and tag different hair color products in the inventory pictures with their specific names. It can allow users to filter and search products based on the specific hair color they are looking for.

  2. Hair Salon Booking Platforms: Salons could use this model to help customers visualize and select desired hair color treatments before making an appointment. By tagging and categorizing all hair color options, customers could easily find and book the ideal hair treatment.

  3. E-commerce Product Cataloging: Online marketplaces could use this model to easily classify and catalog various hair color products from different brands. This would help to standardize the product categories and make it easier for customers to find what they are looking for.

  4. Buyer Sentiment Analysis: For market research purposes, businesses could use the computer vision model to analyze social media content, identifying the use of specific hair colors by influencers or customers, helping to understand trends and consumer preferences.

  5. Inventory Management Systems: Retailers and wholesalers could leverage this model to automatically identify and categorize different hair color products in storage or during stocktaking. This would streamline inventory processes and minimize human error.

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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{
                            loreal_haircolor_dataset_dataset,
                            title = { Loreal_HairColor_Dataset Dataset },
                            type = { Open Source Dataset },
                            author = { COCO conversion },
                            howpublished = { \url{ https://universe.roboflow.com/coco-conversion/loreal_haircolor_dataset } },
                            url = { https://universe.roboflow.com/coco-conversion/loreal_haircolor_dataset },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jul },
                            note = { visited on 2024-09-08 },
                            }

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