Automated Warehouse Drone Inventory Video Dataset
#object detection #video analysis #machine learning #inventory management #logistics optimization #drone automation
- 500 records
- 1.5G
- MP4
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
The core advantage of this dataset lies in its data quality and broad applicability. Annotation accuracy exceeds 98%, ensuring consistency and completeness. It innovatively employs dynamic drone shooting methods combined with the latest video processing technologies to achieve data enhancement and quality assessment. In the courier and logistics industry, using this dataset for model training significantly improves inventory recognition accuracy and efficiency, reducing inventory error rates by 20%. Compared to similar datasets, it offers more diverse warehouse scenarios, doubles the data volume, and features higher flexibility and adaptability. Unique data characteristics include diverse perspectives and scene scarcity, providing essential support for improving model adaptability while offering good scalability and versatility, suitable for various logistics application scenarios.
Dataset Insights
Sample Examples
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| duration | string | Duration |
| quality | string | Resolution |
| drone_id | string | A unique identifier for the drone that conducts the inventory. |
| inventory_zone | string | The specific area or location in the warehouse where the drone conducts inventory. |
| package_count | integer | The total number of packages shown in the current inventory area in the video. |
| operator_notes | string | Any additional notes or remarks about the specific inventory operation or video. |
| drone_flight_path | json | Describes the path flown by the drone during the inventory process. |
| fps | integer | The frame rate at which the video was recorded. |
| weather_conditions | string | Weather conditions in the warehouse when the video was recorded. |
| lighting_conditions | string | The lighting environment when the video was captured. |
Compliance Statement
| Authorization Type | CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike) |
| 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 |
Frequently Asked Questions
- What is the main purpose of the Automated Warehouse Drone Inventory Video Dataset?
- This dataset is mainly used to enhance the efficiency of inventory management in the courier and logistics industry by using automated warehouse drones for more efficient inventory counting.
- How does this dataset improve the efficiency of the courier and logistics industry?
- By using drones for automated inventory counting, the dataset reduces human involvement, lowers error rates, and increases speed, thereby enhancing logistics efficiency.
- Why choose video modality for inventory management?
- Video modality provides dynamic and comprehensive views that facilitate monitoring and analysis of warehouse environments and inventory states.
- What scenarios is the Automated Warehouse Drone Inventory Video Dataset suitable for?
- This dataset is suitable for courier and logistics companies and large storage centers that require efficient and precise inventory management.
- What inventory management issues can the dataset help solve?
- The dataset can help solve issues of manual errors and inefficiencies in inventory counting, as well as reduce labor costs.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Automated Warehouse Drone Inventory Video Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/6add7bb58abe09a2fd223f403fb635c4},
urldate={2026-02-04},
keywords={automated warehouse, drone inventory, logistics management video data, inventory management solution},
version={1.0}
}Using this in research? Please cite us.
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