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BirdLense_Detector – AI Model by gfermoto | AlphaNeural AI

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gfermoto/
BirdLense_Detector

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object-detection

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BirdLense Detector (3-class)

YOLO detector weights for BirdLense Hub (CV/ML roadmap #368).

Classes (`model.names`)

Bird
Rodent
Background

Intended use

Binary detector stage in BirdLense two-stage pipeline
Feeder-camera wildlife monitoring
Local/on-device inference

Integration in BirdLense

Default detector path in repository:

app/processor/models/detection/weights/best.pt

Relevant config keys:

processor.models.binary
processor.detector_weight_contract (off | warn | enforce)
optional OpenVINO path:
- processor.models.binary_openvino
- BIRDLENSE_BINARY_OPENVINO_PATH

Quick start (Ultralytics)

python

from ultralytics import YOLO

model = YOLO("best.pt")
print(model.names)  # expected: {0:'Bird', 1:'Rodent', 2:'Background'}
results = model.predict("sample.jpg", conf=0.25)