database:
  path: data/detections.db
image_repository:
  base_path: ''
  allowed_extensions:
  - .jpg
  - .jpeg
  - .png
  - .tif
  - .tiff
  - .bmp
models:
  default_base_model: yolov8s-seg.pt
  models_directory: data/models
  base_model_choices:
  - yolov8s-seg.pt
  - yolov11s-seg.pt
training:
  default_epochs: 100
  default_batch_size: 16
  default_imgsz: 640
  default_patience: 50
  default_lr0: 0.01
  two_stage:
    enabled: false
    stage1:
      epochs: 20
      lr0: 0.0005
      patience: 10
      freeze: 10
    stage2:
      epochs: 150
      lr0: 0.0003
      patience: 30
  last_dataset_yaml: /home/martin/code/object_detection/data/datasets-revert/data.yaml
  last_dataset_dir: /home/martin/code/object_detection/data/datasets-revert
detection:
  default_confidence: 0.25
  default_iou: 0.45
  max_batch_size: 100
visualization:
  bbox_colors:
    organelle: '#FF6B6B'
    membrane_branch: '#4ECDC4'
    default: '#00FF00'
  bbox_thickness: 2
  font_size: 12
export:
  formats:
  - csv
  - json
  - excel
  default_format: csv
logging:
  level: INFO
  file: logs/app.log
  format: '%(asctime)s - %(name)s - %(levelname)s - %(message)s'