Tools tagged with "Labeled Datasets"

A pan-European label dataset providing harmonized crop type information for large-scale agricultural classification.

A community-sourced repository providing standardized, machine-learning-ready imagery and annotations for coral reef conservation.

A standard for curating, sharing, and combining large-scale Earth Observation datasets for AI and ML.

Generate and process large-scale geospatial datasets with Google Earth Engine for AI research.

CDrone provides a synthetic drone dataset and data augmentation for monocular 3D object detection.

Global canopy height map for the year 2020 derived from Sentinel-2 and GEDI.

A curated list of conservation-related labeled datasets not hosted on LILA.

Providing diverse datasets for research in computer vision, image processing, and pattern recognition.

AI models for classifying wildlife in images from motion-triggered camera traps.

A comprehensive platform offering extensive labeled datasets of wildlife imagery for machine learning and computer vision research.

A national archive for criminal justice and criminology data.

Provides open AI-generated global super-resolution geospatial imagery, updated frequently.

A dataset offering lidar and Landsat-derived forest canopy height and vegetation indices for Mexican ecosystems.

An urban-scale point cloud dataset for semantic segmentation research with billions of annotated points.

Provides real-world computer vision benchmarks and datasets for autonomous driving research.

A curated list of ground-truth forest datasets for machine learning and forestry research.

Refining Road Surfaces Beyond Planar Representations for Autonomous Driving and Virtual Worlds.

A unique open-source machine learning dataset featuring real and synthetic satellite imagery for aircraft detection.

A curated dataset of manually labeled inundation data for deep learning applications in flood detection.

A large-scale trash dataset for computer vision, enabling AI to detect and combat litter.