Commit
·
bf3caaf
1
Parent(s):
7f80cd6
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,50 @@
|
|
| 1 |
---
|
| 2 |
license: cc-by-nc-nd-4.0
|
| 3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
license: cc-by-nc-nd-4.0
|
| 3 |
---
|
| 4 |
+
# Makeup Detection Dataset
|
| 5 |
+
|
| 6 |
+
The dataset consists of photos featuring the same individuals captured in two distinct scenarios - *with and without makeup*. The dataset contains a diverse range of individuals with various *ages, ethnicities and genders*. The images themselves would be of high quality, ensuring clarity and detail for each subject.
|
| 7 |
+
|
| 8 |
+
In photos with makeup, it is applied to only specific parts of the face, such as *eyes, lips, or skin*.
|
| 9 |
+
In photos without makeup, individuals have a bare face with no visible cosmetics or beauty enhancements. These images would provide a clear contrast to the makeup images, allowing for significant visual analysis.
|
| 10 |
+
|
| 11 |
+
### The dataset's possible applications:
|
| 12 |
+
- facial recognition
|
| 13 |
+
- beauty consultations and personalized recommendations
|
| 14 |
+
- augmented reality and filters in photography apps
|
| 15 |
+
- social media and influencer marketing
|
| 16 |
+
- dermatology and skincare
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
# Get the Dataset
|
| 21 |
+
|
| 22 |
+
### This is just an example of the data
|
| 23 |
+
|
| 24 |
+
If you need access to the entire dataset, contact us via **[[email protected]](mailto:[email protected])** or leave a request on **[https://trainingdata.pro/data-market](https://trainingdata.pro/data-market?utm_source=huggingface)**
|
| 25 |
+
|
| 26 |
+
# Content
|
| 27 |
+
|
| 28 |
+
- **no_makeup**: includes images of people *without* makeup
|
| 29 |
+
- **with_makeup**: includes images of people *wearing makeup*. People are the same as in the previous folder, photos are identified by the same name
|
| 30 |
+
- **.csv** file: contains information about people in the dataset
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
### File with the extension .csv
|
| 34 |
+
|
| 35 |
+
includes the following information for each set of media files:
|
| 36 |
+
|
| 37 |
+
- **no_makeup**: link to the photo of a person without makeup,
|
| 38 |
+
- **with_makeup**: link to the photo of the person with makeup,
|
| 39 |
+
- **part**: body part of makeup's application,
|
| 40 |
+
- **gender**: gender of the person,
|
| 41 |
+
- **age**: age of the person,
|
| 42 |
+
- **country**: country of the person
|
| 43 |
+
|
| 44 |
+
# Images for makeup detection might be collected in accordance with your requirements.
|
| 45 |
+
|
| 46 |
+
## **[TrainingData](https://trainingdata.pro/data-market?utm_source=huggingface)** provides high-quality data annotation tailored to your needs
|
| 47 |
+
|
| 48 |
+
More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
|
| 49 |
+
|
| 50 |
+
TrainingData's GitHub: **https://github.com/trainingdata-pro**
|