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---
pretty_name: Enhanced Fall Dataset
language:
- en
task_categories:
- video-classification
tags:
- fall-detection
- accident-detection
- video
size_categories:
- 10K<n<100K
---
# Enhanced Fall Dataset (total = 25,691)
## Prerequisite
Download ```bear7011/gemma-4-e4b-kinetics_54K``` first for some overlapped videos. (This setting prevents cascading forgetting.)
## Notification!
1. Do not mix the sora-accident dataset into the training process.
2. Video sources:
- `videos/kinetics_fall`, `videos/kinetics_neg` — [Kinetics dataset](https://github.com/cvdfoundation/kinetics-dataset)
- `videos/oops` — [OOPS! dataset (Columbia)](https://oops.cs.columbia.edu/data/)
## File Structure
```
├── annotations
│   ├── prompts.json
│   ├── train.json
│   └── val.json
├── distribution.json
├── label.txt
├── README.md
└── videos
├── kinetics_fall
├── kinetics_neg
└── oops
```
## Label Distribution
This dataset is composed of three types of labels:
1. General Fall (8,000)
2. Hard Negative, similar to fall (10,691)
- Normal Hard Negative (3,800)
- Hard Hard Negative (3,500)
- Extreme Hard Negative (3,391)
3. Overlapped videos from 54k (7,000)