Agricultural Labor Teaching Dataset
#object detection #image classification #agricultural teaching #labor guidance #technical training
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-22
AI Analysis & Value Prop
The current agricultural sector faces challenges in labor skills transmission and education, especially in remote areas lacking systematic teaching resources and tools. Existing teaching methods largely rely on traditional oral transmission, which is inefficient and has a limited reach, failing to meet the demands of modern agricultural development. Therefore, this dataset aims to provide a comprehensive agricultural labor teaching resource, using object detection technology to help students and farmers better learn and master agricultural skills. The dataset contains diverse agricultural labor scenes, with data collected using high-resolution cameras in the fields to ensure data authenticity and diversity. To ensure data quality, we implemented multiple rounds of annotation and consistency checks, with all data reviewed by experts to ensure the accuracy of annotations. Data is stored in JPG format, organized by category and scene for easy retrieval and use.
Dataset Insights
Sample Examples
f0af165b**.jpg|5184*3456|3.38 MB
6685c3df**.jpg|2773*3466|1.92 MB
1ba40a13**.jpg|6000*4000|7.54 MB
5e9f8829**.jpg|7008*4672|4.40 MB
a9e4c9dd**.jpg|5184*3456|3.55 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| crop_type | string | Identifies the main crop type present in the image, such as rice, wheat, etc. |
| activity_type | string | Describes the specific agricultural activity type depicted in the image, such as sowing, harvesting, etc. |
| weather_condition | string | Describes the weather condition at the time the image was taken, such as sunny, cloudy, etc. |
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 |
Frequently Asked Questions
- What agricultural scenarios is this dataset suitable for?
- The Agricultural Labor Teaching Dataset is suitable for agricultural training, agricultural automation monitoring, crop recognition, and agricultural education scenarios.
- What types of images are included in the Agricultural Labor Teaching Dataset?
- The dataset includes various images related to agricultural labor operations, such as planting, harvesting, and spraying operations.
- What research or applications can be conducted using this dataset?
- This dataset can be used to train machine learning models for object detection, development of automated agricultural equipment, and improvement of agricultural labor techniques.
- What role does the Agricultural Labor Teaching Dataset play in machine learning?
- This dataset provides the foundational data for training and testing agriculture-related object detection algorithms and models, acting as an essential tool for precision agriculture.
- How to evaluate the performance of a model trained with the Agricultural Labor Teaching Dataset?
- The performance of object detection models in agricultural scenarios can be evaluated using metrics such as cross-validation, precision, recall, and F1 score.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Agricultural Labor Teaching Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/00d4cf3eb64e47c23882954cd00d3abe},
urldate={2025-10-23},
keywords={agricultural dataset, object detection, agricultural teaching, labor skills, dataset download},
version={1.0}
}Using this in research? Please cite us.
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