This blog post summarizes key AI feature sub-collections across Audio, Computer Vision, and Natural Language Processing (NLP).
Audio: Includes Text to Audio for converting text to sound, Text to Speech for natural spoken output, and Automatic Sound Recognition for identifying environmental sounds, among other capabilities.
These sub-collections highlight AI’s diverse applications, with more features to be explored in future posts.
Below is the feature sub-collection tree:*
Collections
├── Audio
│ ├── Text to Audio
│ ├── Text to Speech
│ ├── Automatic Sound Recognition
│ └── ...
├── Computer Vision
│ ├── Image Classification
│ ├── Text to Image
│ ├── Text to Video
│ ├── Image to Video
│ └── ...
└── NLP
├── Text Classification
├── Text Translation
└── ...
This tree-based sub-collection simplifies finding and managing theme-based tasks, ensuring efficient navigation across AI applications. Future posts will explore each feature in detail to further support task-specific implementations.
I hope HuggingFace will bring this feature for us.