⏳ Chronological / Domain Shift
Overview
Biological data are not i.i.d.—they change over time due to seasonality, climate, and location.
FungiTastic’s temporal splits let you test robustness to domain shifts.
Use Cases
- Domain adaptation, continual learning, and test-time adaptation research
- Models deployed in changing or dynamic environments
Data & Splits
- Train: Observations up to 2021
- Validation: Observed in 2022
- Test: Observed in 2023
- Splits follow real-world chronology, including natural class and distribution shifts
Evaluation Protocol
- Metrics: Standard classification metrics (Top-1, F1) or task-specific as appropriate
- Can be applied to closed/open/few-shot tasks
Baselines & Results
- Baselines demonstrate substantial accuracy drops across years
- Encourages research into robust, adaptive models
Quick Start
- See usage/evaluation.md for scripts and analysis
- Download temporal splits from Kaggle