--- license: cc-by-4.0 task_categories: - image-classification - object-detection tags: - biology - ecology - invasive-species - spotted-lanternfly - geolocation - citizen-science - conservation size_categories: - n<1K --- # Lantern Fly Research Dataset This dataset contains **human-verified spotted lanternfly sightings** collected through the Lantern Fly Tracker app. Each entry includes high-quality photos, precise geolocation data, and comprehensive metadata for ecological research. ## 🎯 Purpose This dataset supports: - **Ecological research** on spotted lanternfly distribution and spread patterns - **Machine learning model training** with verified, high-quality data - **Temporal and spatial analysis** of invasive species behavior - **Conservation efforts** and pest management strategies - **Citizen science** validation and research ## 📊 Dataset Structure ``` lanternfly_research_dataset/ ├── images/ # High-quality lanternfly photos ├── metadata/ # JSON files with location and metadata └── README.md # This file ``` ## 🔍 Data Quality All photos in this dataset have been: 1. **AI-classified** as potential spotted lanternflies 2. **Human-verified** by app users for accuracy 3. **Geolocated** with GPS coordinates 4. **Timestamped** for temporal analysis 5. **Quality-checked** for research standards ## 📋 Data Fields Each sighting includes: ### Image Data - **High-resolution photo** of verified spotted lanternfly - **Unique filename** with timestamp and username ### Location Data - **GPS coordinates** (latitude/longitude) - **Location name** (human-readable description) - **Geographic precision** for spatial analysis ### Metadata - **Username** of person who verified the sighting - **Sighting date/time** (when photo was taken) - **Upload date** (when added to dataset) - **AI confidence score** (0-1 scale) - **Verification status** (always "human_verified") - **Image file size** and technical details ## 🚀 Usage ### For Researchers ```python from datasets import load_dataset # Load the dataset dataset = load_dataset("rlogh/lanternfly_research_dataset") # Access images and metadata images = dataset["images"] metadata = dataset["metadata"] ``` ### For Conservation - Track spread patterns over time - Identify high-risk areas - Monitor population dynamics - Support eradication efforts ## 📈 Current Statistics - **Total sightings**: Growing daily - **Geographic coverage**: Multiple states - **Time range**: 2024-present - **Data quality**: Human-verified ## 🤝 Contributing This dataset is automatically updated when users verify lanternfly sightings through the Lantern Fly Tracker app. Each verified sighting contributes valuable data to ecological research. ## 📜 Citation If you use this dataset in your research, please cite: ```bibtex @dataset{lanternfly_research_2024, title={Lantern Fly Research Dataset: Human-verified spotted lanternfly sightings with geolocation data}, author={Lantern Fly Tracker Community}, year={2024}, publisher={Hugging Face}, url={https://huggingface.co/datasets/rlogh/lanternfly_research_dataset} } ``` ## 📄 License This dataset is released under the **Creative Commons Attribution 4.0 International License** (CC BY 4.0). ## 🔗 Links - **Dataset**: https://huggingface.co/datasets/rlogh/lanternfly_research_dataset - **App**: Lantern Fly Tracker (citizen science app) - **Research**: Contact for collaboration opportunities --- *This dataset is maintained by the Lantern Fly Tracker community and updated automatically with verified sightings.*