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license: cc-by-nc-nd-4.0
task_categories:
- object-detection
- image-classification
tags:
- birds
- bird-feeder
- yolo
- birdlense
- wildlife
language:
- en
size_categories:
- n<1K
- 1K<n<10K
- 10K<n<100K
---
# BirdLense Annotations
Dataset of bird annotations from feeders for the [BirdLense Hub](https://github.com/Gfermoto/BirdLense-Hub) project — a bird feeder monitoring system with detection (YOLO, BirdNET).
## Description
Images of birds and squirrels captured by BirdLense cameras at feeders. Annotations in YOLO format (bounding boxes) for training and fine-tuning detection models. Data is collected by community members through confirming and correcting automatic detections.
## Dataset Structure
```
train/
images/ # Training images
labels/ # YOLO annotations (.txt)
val/
images/
labels/
data.yaml # Class configuration and paths
```
## Classes
Species list is defined in `data.yaml`. Typical categories: birds (tits, sparrows, woodpeckers, etc.), squirrels, mice.
## Usage
### Download
```python
from huggingface_hub import snapshot_download
path = snapshot_download(
repo_id="gfermoto/birdlense-annotations",
repo_type="dataset",
local_dir="./birdlense-data",
)
```
### YOLO Training
```bash
yolo detect train data=./birdlense-data/data.yaml model=yolov8n.pt epochs=100
```
## Data Source
- **BirdLense Hub** — open-source bird feeder monitoring system
- Detection: YOLO + BirdNET
- Labeling: user confirmation/correction in the UI
## License
[CC BY-NC-ND 4.0](https://creativecommons.org/licenses/by-nc-nd/4.0/) — attribution required, non-commercial, no derivatives without permission.
## Links
- [BirdLense Hub](https://github.com/Gfermoto/BirdLense-Hub)
- [BirdLense Documentation](https://github.com/Gfermoto/BirdLense-Hub/tree/main/docs)
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