Dataset Hub

This dataset provides images for recognizing various shapes of robot vacuums, enhancing product classification in e-commerce.

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

A specialized dataset for analyzing image occlusions in sports vests to enhance e-commerce performance.

A high-quality image dataset for detecting leftover areas on cafeteria trays.

This dataset provides a rich set of green chili images, supporting varietal classification and recognition tasks.

This dataset is used for recognizing and classifying product images of children's dresses.

This dataset is used for recognizing and classifying pomegranate fruits in gardens to enhance the efficiency of intelligent agricultural management.

This dataset provides a large collection of video data on illegal parking causing traffic blockages, aiming to enhance the intelligence of traffic management systems.

This dataset is used for the identification and classification of begonia flower images across different seasons.

A dataset focused on camshaft image recognition adapting to lighting and occlusion variations.

A comprehensive dataset for analyzing occluded images of down jackets in retail settings.

The Onion Classification and Segmentation Dataset is an image dataset focused on the agricultural field, aiming to enhance the intelligence level of crop classification and pest and disease detection.

A comprehensive dataset designed for training models on laundry detergent occlusion images.

This dataset focuses on the identification and monitoring of seedling health status, supporting object detection tasks.

This dataset provides high-quality eyeshadow product images, aiming to enhance product recognition efficiency on e-commerce platforms.

This dataset focuses on tomato instance segmentation, aiming to improve the accuracy and efficiency of agricultural monitoring.

This dataset focuses on the image classification of lip mask products to help improve product identification efficiency.

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

The Durian Plantation Disease Identification Leaf Spot Disease Image Dataset aims to improve the accuracy of plant disease identification.

This dataset focuses on the image recognition of garden flowers Chrysanthemum, and can be used to improve the accuracy of plant classification.