The Garden Flowers Hibiscus Identification Image Dataset focuses on improving the automatic identification and classification of hibiscus flowers in gardens.

The Farmland Fence Detection Dataset provides rich image data for agricultural object detection, aiding intelligent farmland management.

The cattle behavior recognition dataset provides high-quality target detection data for intelligent agricultural monitoring, supporting the development of behavior recognition technology.

This dataset aims to provide high-quality farmer work scene recognition data to support the development of intelligent agriculture.

The Magnolia Recognition Image Dataset focuses on the precise identification and classification of magnolia species.

This dataset is used for the detection and localization of strawberry fruits, aiding the development of agricultural intelligence.

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

The Garden Flower Conical Hydrangea Image Recognition Dataset is developed for robotic vision systems.

This dataset is used to provide precise segmentation annotations of farmland flood areas, supporting AI model training.

The Orchard Land Use Monitoring Dataset provides high-quality image data for agricultural object detection, aiding intelligent agriculture management.

This dataset provides rich data on agricultural product transportation scenes, aiming to enhance the efficiency of agricultural logistics.

The Garden Flower Salvia Identification Image Dataset focuses on improving plant identification efficiency in agriculture and forestry.

This dataset is used to document crop leaf damage to support AI training for crop health monitoring models.

Beehive scene recognition dataset to support intelligent agricultural management.

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.

This dataset focuses on the image classification of rural roads, covering various types of roads.

The Sweet Potato Quality Detection Dataset is a high-quality image dataset for object detection, aimed at improving the efficiency of sweet potato quality assessment.

This dataset is dedicated to the automatic recognition of paulownia in garden flowers.

This dataset provides precise pixel-level segmentation annotations for crop pest monitoring, aiding the development of AI models.

This dataset enhances the accuracy of soil classification by using soil samples as reference data for remote sensing images.