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BirdLense_Detector
gfermoto/BirdLense_Detector
BirdLense_Detector is a object detection model from gfermoto. Use it when you need objects located in an image. It is set up for ultralytics. The card lists the license as mit.
YOLO detector weights for BirdLense Hub (CV/ML roadmap 368).
Access
Public
Updated Apr 29, 2026
Repo size
19 MB
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Repo makeup
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At a glance
- Task
- Object Detection
- Library
- ultralytics
- License
- mit
- Access
- Public
- Created
- Apr 29, 2026
- Updated
- Apr 29, 2026
- SHA
- 2de363dd
Model card
From the Hugging Face model README
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.binaryprocessor.detector_weight_contract(off | warn | enforce)- optional OpenVINO path:
processor.models.binary_openvinoBIRDLENSE_BINARY_OPENVINO_PATH
Quick start (Ultralytics)
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)
- Task
- Object Detection
- Library
- ultralytics
- License
- mit
- Created
- Apr 29, 2026
- Updated
- Apr 29, 2026