Dataset for Video Recognition of Chinese Cuisine Preparation in Kitchen
#Video Classification #Action Recognition #Behavior Detection #Dish Preparation Automation #Intelligent Video Analysis
- Records
- 500 records
- Size
- 1.6G
- Format
- MP4
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
AI Analysis & Value Prop
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.
Overview
Dataset Insights
Preview
Sample Examples
Schema
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. |
Trust
Compliance Statement
Authorization Type
Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use
Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization
No PII, no real company names, simulated scenarios follow industry standards
Compliance System
Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs
FAQ
Frequently Asked Questions
- What video analysis tasks is the Kitchen Dish Preparation Video Recognition Dataset suitable for?
- The dataset is primarily used for recognizing actions and steps in the kitchen dish preparation process. This includes tasks like action recognition, step segmentation, and dish classification.
- How does this dataset contribute to the development of the agriculture, forestry, and fishery industry?
- By providing video recognition data of kitchen dish preparation processes, this dataset can help professionals in the agriculture, forestry, and fishery sectors understand and optimize food processing procedures, enhancing efficiency and productivity.
- How can video understanding data improve the efficiency of the dish preparation process?
- Using video understanding technology, the kitchen dish preparation process can be automatically analyzed and monitored, identifying bottlenecks or inefficient segments, thus providing optimization suggestions to enhance overall efficiency.
- What are the typical application scenarios of the Kitchen Dish Preparation Video Recognition Dataset?
- This dataset can be used in intelligent robotic systems in automated kitchens, demonstration teaching in culinary education and training, and digital analysis and recommendation systems for culinary content.
- What are the advantages of the Kitchen Dish Preparation Video Recognition Dataset in the video understanding field?
- The dataset focuses on real-world kitchen environments for dish preparation processes, providing rich visual information and details of cooking steps, supporting complex video analytics and recognition tasks.
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Cite this Work
@dataset{Mobiusi2026,
title={Dataset for Video Recognition of Chinese Cuisine Preparation in Kitchen},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/196c8ea402f69aafbd02b7d60268b239?dataset_scene_cate_type=1},
urldate={2026-02-04},
keywords={Kitchen Video Analysis, Dish Recognition Dataset, Video Action Detection},
version={1.0}
}Using this in research? Please cite us.
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