Datasets
HECMS Datasets — Compiled by Us in Sri Lanka, Shared with the World — Open Data for Wildlife Conservation
Empower your research with real-world data focused on elephant activity in diverse wildlife environments. Explore our open-source datasets curated to support balanced ecosystems and peaceful coexistence.
Sri Lanka Elephant Datasets — Explore, Train, and Innovate
Download two distinct datasets from Project HECMS — the Raw Dataset (unlabeled, high-quality images) and the YOLO Dataset (labeled in YOLO format) — designed to power AI-driven wildlife monitoring and conservation efforts. Each dataset contains a different set of images: the Raw Dataset offers a unique collection of high-resolution wildlife imagery, while the YOLO Dataset includes a separately annotated set prepared for object detection tasks.
Key Features of These Datasets
Our datasets are carefully curated to ensure quality, usability, and real-world relevance. Here’s why they stand out:
High-Quality Images
Crystal-clear, high-resolution images from diverse natural environments.
Expert-Labeled Data
Precisely annotated by domain experts for accuracy and consistency.
Diverse Scenarios
Includes varied natural environments to boost model adaptability.
Ready for AI Training
Pre-processed in YOLO format, ready for machine learning.