metadata
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 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
from huggingface_hub import snapshot_download
path = snapshot_download(
repo_id="gfermoto/birdlense-annotations",
repo_type="dataset",
local_dir="./birdlense-data",
)
YOLO Training
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 — attribution required, non-commercial, no derivatives without permission.