Commit
•
9a6b473
1
Parent(s):
8da9951
Update README.md
Browse files
README.md
CHANGED
|
@@ -27,16 +27,12 @@ dataset_info:
|
|
| 27 |
# Botox Injections (Before & After)
|
| 28 |
The dataset consists of photos featuring the same individuals captured before and after botox injections procedure. The dataset contains a diverse range of individuals with various *ages, ethnicities and genders*.
|
| 29 |
|
|
|
|
|
|
|
| 30 |
The dataset is useful for evaluation of the effectiveness of botox injections for different skin and face types, face recognition and reidentification tasks. It can be utilised for biometric tasks , in beauty sphere, for medical purposes and e-commerce.
|
| 31 |
|
| 32 |
|
| 33 |
|
| 34 |
-
# Get the dataset
|
| 35 |
-
|
| 36 |
-
### This is just an example of the data
|
| 37 |
-
|
| 38 |
-
Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market/botox-injections-before-after?utm_source=huggingface&utm_medium=cpc&utm_campaign=botox-injections-before-and-after) to discuss your requirements, learn about the price and buy the dataset.
|
| 39 |
-
|
| 40 |
# Content
|
| 41 |
- **before**: includes images of people before botox injections
|
| 42 |
- **after**: includes images of people after botox injections. People are the same as in the previous folder, photos are identified by the same name
|
|
@@ -50,8 +46,12 @@ includes the following information for each set of media files:
|
|
| 50 |
|
| 51 |
# Images of people with botox injections might be collected in accordance with your requirements.
|
| 52 |
|
| 53 |
-
|
|
|
|
|
|
|
| 54 |
|
| 55 |
More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
|
| 56 |
|
| 57 |
-
TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
|
|
|
|
|
|
|
|
|
| 27 |
# Botox Injections (Before & After)
|
| 28 |
The dataset consists of photos featuring the same individuals captured before and after botox injections procedure. The dataset contains a diverse range of individuals with various *ages, ethnicities and genders*.
|
| 29 |
|
| 30 |
+
# 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[TrainingData](https://trainingdata.pro/datasets/botox-injections-before-after?utm_source=huggingface&utm_medium=cpc&utm_campaign=botox-injections-before-and-after)** to buy the dataset
|
| 31 |
+
|
| 32 |
The dataset is useful for evaluation of the effectiveness of botox injections for different skin and face types, face recognition and reidentification tasks. It can be utilised for biometric tasks , in beauty sphere, for medical purposes and e-commerce.
|
| 33 |
|
| 34 |
|
| 35 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 36 |
# Content
|
| 37 |
- **before**: includes images of people before botox injections
|
| 38 |
- **after**: includes images of people after botox injections. People are the same as in the previous folder, photos are identified by the same name
|
|
|
|
| 46 |
|
| 47 |
# Images of people with botox injections might be collected in accordance with your requirements.
|
| 48 |
|
| 49 |
+
# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets/botox-injections-before-after?utm_source=huggingface&utm_medium=cpc&utm_campaign=botox-injections-before-and-after)** to discuss your requirements, learn about the price and buy the dataset
|
| 50 |
+
|
| 51 |
+
## **[TrainingData](https://trainingdata.pro/datasets/botox-injections-before-after?utm_source=huggingface&utm_medium=cpc&utm_campaign=botox-injections-before-and-after)** provides high-quality data annotation tailored to your needs
|
| 52 |
|
| 53 |
More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
|
| 54 |
|
| 55 |
+
TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
|
| 56 |
+
|
| 57 |
+
*keywords: beauty, cosmetics, botox treated faces, botulinum toxin, aesthetic surgery, cosmetic surgery data, plastic surgery, facial plastic surgery, biometric dataset, biometric data dataset, face recognition database, face recognition dataset, face detection dataset, facial analysis, human images dataset, image segmentation, images dataset, computer vision, deep learning dataset, augmented reality, ar, human identification, re-identification, health*
|