Agricultural Product Harvest Basket Detection Dataset
#target detection #image recognition #agricultural automation #smart harvesting #agricultural product monitoring
- Records
- 5000 records
- Size
- 1.2G
- Format
- JPG/PNG/JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
AI Analysis & Value Prop
The current agriculture industry faces challenges of labor shortages and low harvesting efficiency. The development of smart agriculture urgently requires efficient automation technology to enhance production efficiency. Existing target detection systems perform poorly in complex agricultural environments, failing to accurately recognize different types of harvest baskets. This results in crop losses and inefficiency. This dataset aims to assist researchers and developers by providing high-quality, accurately labeled images of agricultural harvest baskets, enabling the training of more precise target detection algorithms to meet the needs of smart agriculture. The images in the dataset were collected using drones and high-definition cameras under varying lighting and weather conditions, ensuring data diversity and authenticity. To guarantee data quality, multiple rounds of labeling and expert review were conducted, and all labeling results underwent consistency checks to ensure data accuracy and reliability. The data is stored in JPEG format, organized so that each image corresponds to an annotation file, facilitating subsequent use and testing.
Overview
Dataset Insights
Preview
Sample Examples
30795501**.jpg|2964*3705|1.05 MB
107a99b5**.jpg|5184*3456|2.27 MB
508dc87b**.jpg|3963*5945|4.04 MB
77c8d4c1**.jpg|6000*4000|3.92 MB
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| basket_color | string | The color of the agricultural product harvesting basket. |
| basket_material | string | The material used for the agricultural product harvesting basket. |
| basket_capacity | int | The maximum weight or volume of agricultural products that the basket can hold. |
| crop_type | string | The type of agricultural products stored in the harvesting basket. |
| image_condition | string | The environmental conditions during image capture, such as indoor, outdoor, sunny, cloudy, etc. |
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 types of images are included in the Agricultural Produce Harvest Basket Detection Dataset?
- The dataset mainly includes images of various types of agricultural produce harvest baskets, helping to identify and detect the features of these baskets.
- What are the main application scenarios of using the Agricultural Produce Harvest Basket Detection Dataset?
- It is mainly used in the fields of automation and robotics in agriculture to optimize the harvest and organization process of agricultural products.
- What machine learning tasks is the Agricultural Produce Harvest Basket Detection Dataset suitable for?
- The dataset is suitable for object detection tasks, especially for basket detection and recognition in agricultural automation.
- How can the Agricultural Produce Harvest Basket Detection Dataset be used to improve production efficiency in agriculture?
- By applying models trained on this dataset, automatic identification, classification, and management of produce harvest baskets can be achieved, enhancing harvest efficiency.
- Why is object detection important in agriculture?
- Object detection aids in automating operations like identifying ripe produce and optimizing harvesting strategies, thereby reducing labor costs.
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Cite this Work
@dataset{Mobiusi2025,
title={Agricultural Product Harvest Basket Detection Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/c41bd4f4b7fce7f835ba59144dd9b0aa?dataset_scene_id=5},
urldate={2025-10-22},
keywords={agricultural product detection dataset, target detection, agricultural automation, harvest basket recognition},
version={1.0}
}Using this in research? Please cite us.
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