Garden flower weeping crabapple recognition image dataset, aiding precise recognition and classification.

Evaluate how well models extract strawberry growth stages and phenological attributes from cultivation webpages, with supporting evidence spans.

Train models to analyze possible causal links between water quality events and fish responses using trout farming cases with timelines and explicit evidence limitations.

The Ixeridium Image Recognition Dataset is designed to enhance the accuracy of recognizing the Ixeridium plant species.

This dataset is used for the recognition and classification of winter cherry blossoms (high pot cherry blossoms) in garden flowers.

The Landscape Flora Koelreuteria Identification Image Dataset is used to enhance the accuracy of Koelreuteria classification and identification.

Horticultural flower Salvia Splendens recognition image dataset, used to improve plant recognition accuracy.

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

The Musella Lasiocarpa Image Recognition Dataset for Garden Flowers is a high-quality image dataset used to identify specific varieties of flowers.

Train discharge outlet detection models and support automated environmental inspections with images and location annotations.

Train models to reason about giant freshwater prawn health and mortality events by weighing multiple clues and identifying the evidence still needed.

Durian plantation pest identification scale insect image dataset, aiding precision agriculture pest management.

This dataset provides high-quality video data for tracking the positions of participants in a fishing tournament.

The dataset optimizes the collaborative cruise of unmanned fleets.

Pair UAV aerial imagery with segmentation labels to identify and map rapeseed field parcels.

Evaluate evidence weighting, confidence calibration, and cautious scientific reasoning in challenging simulated underwater conditions.

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

Train models to explain how sea-level changes affect coastal inundation risk by comparing baseline and hypothetical scenarios.

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

The Fire Scene Thermal Imaging Segmentation Dataset provides high-precision thermal imaging pictures to improve the efficiency of fire detection and localization.