Mobiusi/Dataset-for-Video-Recognition-of-Chinese-Cuisine-Preparation-in-Kitchen
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---
tags:
- Video Classification
- Action Recognition
- Behavior Detection
- Dish Preparation Automation
- Intelligent Video Analysis
license: cc-by-nc-sa-4.0
task_categories:
- video-classification
language:
- en
pretty_name: Dataset for Video Recognition of Chinese Cuisine Preparation in Kitchen
size_categories:
- 1B<n<10B
---
# Dataset for Video Recognition of Chinese Cuisine Preparation in Kitchen
This dataset has an extremely high annotation accuracy, with annotation consistency exceeding 95%, ensuring completeness across various dish preparation scenarios. It innovatively applies temporal models and video data augmentation techniques to enhance model recognition accuracy. Additionally, the dataset addresses recognition challenges in complex scenarios, significantly improving the accuracy of video analysis of dish preparation. Compared to conventional video datasets, the recognition performance has improved by 20%. The unique data includes various rare dish preparation processes, aiding in building more comprehensive recognition models. Furthermore, the dataset is highly scalable and can be applied to video analysis needs in different fields.
## Technical Specifications
| Field | Type | Description |
| :--- | :--- | :--- |
| file_name | string | File name |
| duration | string | Duration |
| quality | string | Resolution |
| chef_hand_presence | boolean | Indicates if the chef's hands are visible in the video. |
| primary_ingredient | string | The main ingredient featured in the video. |
| cooking_method | string | The primary cooking technique demonstrated in the video. |
| dish_name | string | The name of the dish being prepared in the video. |
| utensil_presence | boolean | Indicates if specific kitchen utensils are present in the video. |
| cooking_time | integer | The total cooking time as shown in the video, measured in seconds. |
| seasoning_used | boolean | Indicates if seasonings or spices are used in the video. |
| safety_measures | boolean | Indicates if any safety measures are visible in the video. |
## Compliance Statement
<table>
<tr>
<td>Authorization Type</td>
<td>CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)</td>
</tr>
<tr>
<td>Commercial Use</td>
<td>Requires exclusive subscription or authorization contract (monthly or per-invocation charging)</td>
</tr>
<tr>
<td>Privacy and Anonymization</td>
<td>No PII, no real company names, simulated scenarios follow industry standards</td>
</tr>
<tr>
<td>Compliance System</td>
<td>Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs</td>
</tr>
</table>
## Source & Contact
If you need more dataset details, please visit [Mobiusi](https://www.mobiusi.com/datasets/196c8ea402f69aafbd02b7d60268b239?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com
提供机构:
Mobiusi



