Omkar2118/datasets huggingface dataset:
PromptSpeech

**PromptSpeech** is a dataset that consists of speech and the corresponding prompts. We synthesize speech with 5 different style factors (gender, pitch, speaking speed, volume, and emotion) from a commercial TTS API. The emotion factor has 5 categories and the gender factor has 2 categories.

Source: [PromptTTS: Controllable Text-to-Speech with Text Descriptions](https://arxiv.org/pdf/2211.12171v1.pdf)

Image Source: [https://arxiv.org/pdf/2211.12171v1.pdf](https://arxiv.org/pdf/2211.12171v1.pdf)

Introducing paper: PromptTTS: Controllable Text-to-Speech with Text Descriptions
CVGL

**CVGL Camera Calibration Dataset** consists of 49 camera configurations with town 1 having 25 configurations while town 2 having 24 configurations. The parameters modified for generating the configurations include fov, x, y, z, pitch, yaw, and roll. Here, fov is the field of view, (x, y, z) is the translation while (pitch, yaw, and roll) is the rotation between the cameras. The total number of image pairs is 79, 320, out of which 18, 083 belong to Town 1 while 61, 237 belong to Town 2, the difference in the number of images is due to the length of the tracks.

Source: [Multi-task Learning for Camera Calibration](https://arxiv.org/pdf/2211.12432v1.pdf)

Image Source: [https://arxiv.org/pdf/2211.12432v1.pdf](https://arxiv.org/pdf/2211.12432v1.pdf)