
This dataset is taken from https://www.kaggle.com/datasets/aditya48/indian-dance-form-classification but is originally from the Hackerearth deep learning contest of identifying Indian dance forms. All the credits of dataset goes to them.

### Content

The dataset consists of 599 images belonging to 8 categories, namely manipuri, bharatanatyam, odissi, kathakali, kathak, sattriya, kuchipudi, and mohiniyattam. The original dataset was quite unstructured and all the images were put together. I have organized it in their respective directories so that the process of preparing training data becomes easier.

### Acknowledgements

- https://www.hackerearth.com/challenges/competitive/hackerearth-deep-learning-challenge-identify-dance-form/
- https://www.kaggle.com/datasets/aditya48/indian-dance-form-classification
task_categories:image-classification size_categories:n<1K license:apache-2.0 art region:us
{"license": "apache-2.0", "size_categories": ["n<1K"], "task_categories": ["image-classification"], "pretty_name": "Indian Dance Forms", "tags": ["art"]}
TAGS
#task_categories-image-classification #size_categories-n<1K #license-apache-2.0 #art #region-us 


This dataset is taken from URL but is originally from the Hackerearth deep learning contest of identifying Indian dance forms. All the credits of dataset goes to them.

### Content

The dataset consists of 599 images belonging to 8 categories, namely manipuri, bharatanatyam, odissi, kathakali, kathak, sattriya, kuchipudi, and mohiniyattam. The original dataset was quite unstructured and all the images were put together. I have organized it in their respective directories so that the process of preparing training data becomes easier.

### Acknowledgements

- URL
- URL
### Content

The dataset consists of 599 images belonging to 8 categories, namely manipuri, bharatanatyam, odissi, kathakali, kathak, sattriya, kuchipudi, and mohiniyattam. The original dataset was quite unstructured and all the images were put together. I have organized it in their respective directories so that the process of preparing training data becomes easier. ### Acknowledgements

- URL
- URL
TAGS
#task_categories-image-classification #size_categories-n<1K #license-apache-2.0 #art #region-us 
 ### Content

The dataset consists of 599 images belonging to 8 categories, namely manipuri, bharatanatyam, odissi, kathakali, kathak, sattriya, kuchipudi, and mohiniyattam. The original dataset was quite unstructured and all the images were put together. I have organized it in their respective directories so that the process of preparing training data becomes easier. ### Acknowledgements

- URL
- URL
passage: TAGS
#task_categories-image-classification #size_categories-n<1K #license-apache-2.0 #art #region-us 
### Content

The dataset consists of 599 images belonging to 8 categories, namely manipuri, bharatanatyam, odissi, kathakali, kathak, sattriya, kuchipudi, and mohiniyattam. The original dataset was quite unstructured and all the images were put together. I have organized it in their respective directories so that the process of preparing training data becomes easier.### Acknowledgements

- URL
- URL