qhjqhj00 visual-wetlandbirds-eval
Visual WetlandBirds Dataset: Bird Species Identification and Behavior Recognition in Videos — Rodriguez-Juan et al. (2025) (arXiv:2501.08931, 2025)
What this evaluates
This benchmark evaluates deep learning models on fine-grained bird species classification and spatio-temporal behavior recognition in ecological video footage. It probes the model's ability to localize birds, identify their species, and classify their actions across video frames in real-world wetland environments.
Datasets
- Visual WetlandBirds Dataset — total 178; splits: train (-1), val (-1), test (-1); repo https://github.com/3dperceptionlab/Visual-WetlandBirds
Metrics
accuracy(primary) — range: [0, 1]- Not specified in provided text. Standard classification accuracy is implied for species and behavior recognition tasks.
Input / output format
Input: Video sequences (resolutions vary: 1920x1080, 1296x720, 1280x720, 960x540, 3840x2160) containing bird footage from Spanish wetlands.
Output: Per-frame predictions including bird species identity, bounding box coordinates, and behavior class labels.
Scoring recipe
def compute_accuracy(predictions, gold):
correct = sum(1 for p, g in zip(predictions, gold) if p == g)
return correct / len(gold) if gold else 0.0
Common pitfalls
- Camera traps have fixed perspectives, resulting in short video clips per individual and requiring models to handle limited temporal context.
- Semi-automated annotation relies on YOLOv7 for initial localization, which may introduce bounding box errors that require manual correction.
- Subject tracking across frames is not natively supported by the annotation tool, requiring post-processing scripts to correlate bounding boxes using Euclidean distance.
Evidence (verbatim from paper)
To ensure annotation accuracy, the use of annotation tools has been extended, as they provide a user-friendly interface that makes this process easy and accessible to non-technical staff.
Citation
@misc{rodriguezjuan2025visualwetlandbirds,
title={Visual WetlandBirds Dataset: Bird Species Identification and Behavior Recognition in Videos},
author={Rodriguez-Juan et al. (2025)},
year={2025},
note={arXiv:2501.08931}
}
- arXiv: 2501.08931