Omkar2118/datasets huggingface dataset:
TV-AD
Full name: Audio Description dataset for TV series

TV-AD is a dataset that provides ground truth AD annotations that are aligned with TV series video, featuring episodes across multiple TV series including “The Big Bang Theory”, “Friends”, “Frasier”, “Seinfeld”, etc. The dataset is divided into training (TV-AD-Train, ∼31k ADs) and evaluation splits (TV-AD-Eval, ∼3k ADs), ensuring that the TV series do not overlap between the two splits. The evaluation split contains AD annotations for TV videos that are publicly available.

Introducing paper: AutoAD-Zero: A Training-Free Framework for Zero-Shot Audio Description
HO-3D v3

The HO-3D v3 is the version 3 of the HO-3D dataset with more accurate hand-object poses. HO-3D v3 provides more accurate annotations for both the hand and object poses thus resulting in better estimates of contact regions between the hand and the object. The table below shows the statistics of the HO-3D v2 compared to the HO-3D v3 datasets.

| Dataset   | Train Set | Test Set | #Images | #Objects | #Subjects | Release Date |
|-----------|-----------|----------|---------|----------|-----------|--------------|
| HO-3D v2  | 66,034    | 11,524   | 10      | 10       | 9         | 9 Jan 2020   |
| HO-3D v3  | 83,325    | 20,137   | 10      | 10       | 1         | 1 Jul 2021   |

Source: [Official Dataset](https://codalab.lisn.upsaclay.fr/competitions/4393)
Image Source: [Official Dataset](https://arxiv.org/abs/2107.00887)

Introducing paper: HO-3D_v3: Improving the Accuracy of Hand-Object Annotations of the HO-3D Dataset