Agriculture & Food

This dataset is designed for target detection of organic fertilizers and soil environments, supporting agricultural monitoring and evaluation.

This dataset provides high-quality images for greenhouse tomato environment monitoring, supporting object detection tasks.

This dataset focuses on the recognition of legume crops in greenhouses, providing high-quality data support for smart agriculture.

Durian plantation pest borer image dataset optimizes agricultural and forestry pest control.

A high-precision image dataset for automatic lavender recognition.

This is a multi-crop field crop recognition dataset designed specifically for the agricultural sector to improve the accuracy and efficiency of crop monitoring.

The Aquilegia Recognizing Image Dataset for Garden Flowers is used for effective identification of Aquilegia.

The Garden Flower Rosa Banksiae Identification Image Dataset is used for scientific research and industrial applications, providing high-quality image data for flower plant identification.

Green Pepper Quantity Statistics Dataset to aid agricultural intelligent monitoring and management.

The Field Grass Navigation Dataset is designed for agricultural object detection tasks, providing high-quality annotated image data.

Floral health status monitoring dataset, aiding intelligent agricultural management.

The Carrot Raw Material Recognition Dataset is a large-scale dataset focused on agricultural object detection.

This dataset provides high-quality image data for grassland moisture and health monitoring, aiding intelligent agriculture management.

This dataset aims to provide high-quality corn seedling image data for object detection tasks.

Collection of asparagus images under different brands and packaging methods for packaging detection and automatic recognition in retail scenarios.

A high-quality image dataset for identifying and classifying garden flower Digitalis.

High-precision image dataset for recognizing garden flower calla lilies.

The Garden Flower Eyelash Rhododendron Recognition Image Dataset focuses on accurate identification and classification of eyelash rhododendron varieties.

This dataset is used to study spray nozzle trajectories, providing data support for precision agriculture.

This dataset is used for pose estimation of tea pickers to promote the development of smart agriculture.