Available Objects

Frigate includes the object labels listed below from the Google Coral test data.

Please note:

• car is listed twice because truck has been renamed to car by default. These object types are frequently confused.
• person is the only tracked object by default. To track additional objects, configure them in the objects settings.

• person
• bicycle
• car
• motorcycle
• airplane
• bus
• train
• car
• boat
• traffic light
• fire hydrant
• street sign
• stop sign
• parking meter
• bench
• bird
• cat
• dog
• horse
• sheep
• cow
• elephant
• bear
• zebra
• giraffe
• hat
• backpack
• umbrella
• shoe
• eye glasses
• handbag
• tie
• suitcase
• frisbee
• skis
• snowboard
• sports ball
• kite
• baseball bat
• baseball glove
• skateboard
• surfboard
• tennis racket
• bottle
• plate
• wine glass
• cup
• fork
• knife
• spoon
• bowl
• banana
• apple
• sandwich
• orange
• broccoli
• carrot
• hot dog
• pizza
• donut
• cake
• chair
• couch
• potted plant
• bed
• mirror
• dining table
• window
• desk
• toilet
• door
• tv
• laptop
• mouse
• remote
• keyboard
• cell phone
• microwave
• oven
• toaster
• sink
• refrigerator
• blender
• book
• clock
• vase
• scissors
• teddy bear
• hair drier
• toothbrush
• hair brush

Configuring Tracked Objects

By default, Frigate only tracks person. To track additional object types, add them to the tracked objects list.

Frigate UI

1. Navigate to Settings→Global configuration→Objects.
   • Add the desired object types to the Objects to track list (e.g., person, car, dog)

To override the tracked objects list for a specific camera:

1. Navigate to Settings→Camera configuration→Objects.
   • Add the desired object types to the Objects to track list

YAML

objects:
  track:
    - person
    - car
    - dog

To override at the camera level:

cameras:
  front_door:
    objects:
      track:
        - person
        - car

Filtering Objects

Object filters help reduce false positives by constraining the size, shape, and confidence thresholds for each object type. Filters can be configured globally or per camera.

Frigate UI

Navigate to Settings→Global configuration→Objects.

Field	Description
Object filters > Person > Min Area	Minimum bounding box area in pixels (or decimal for percentage of frame)
Object filters > Person > Max Area	Maximum bounding box area in pixels (or decimal for percentage of frame)
Object filters > Person > Min Ratio	Minimum width/height ratio of the bounding box
Object filters > Person > Max Ratio	Maximum width/height ratio of the bounding box
Object filters > Person > Min Score	Minimum score for the object to initiate tracking
Object filters > Person > Threshold	Minimum computed score to be considered a true positive

To override filters for a specific camera, navigate to Settings→Camera configuration→Objects.

YAML

objects:
  filters:
    person:
      min_area: 5000
      max_area: 100000
      min_ratio: 0.5
      max_ratio: 2.0
      min_score: 0.5
      threshold: 0.7

To override at the camera level:

cameras:
  front_door:
    objects:
      filters:
        person:
          min_area: 5000
          threshold: 0.7

Object Filter Masks

Object filter masks prevent specific object types from being detected in certain areas of the camera frame. These masks check the bottom center of the bounding box. A global mask applies to all object types, while per-object masks apply only to the specified type.

Frigate UI

Navigate to Settings→Camera configuration→Masks / Zones and select a camera. Use the mask editor to draw object filter masks directly on the camera feed. Global object masks and per-object masks can both be configured from this view.

YAML

objects:
  # Global mask applied to all object types
  mask:
    mask1:
      friendly_name: "Object filter mask area"
      enabled: true
      coordinates: "0.000,0.000,0.781,0.000,0.781,0.278,0.000,0.278"
  # Per-object mask
  filters:
    person:
      mask:
        mask1:
          friendly_name: "Person filter mask"
          enabled: true
          coordinates: "0.000,0.000,0.781,0.000,0.781,0.278,0.000,0.278"

note

The global mask is combined with any object-specific mask. Both are checked based on the bottom center of the bounding box.

Custom Models

Models for both CPU and EdgeTPU (Coral) are bundled in the image. You can use your own models with volume mounts:

• CPU Model: /cpu_model.tflite
• EdgeTPU Model: /edgetpu_model.tflite
• Labels: /labelmap.txt

You also need to update the model config if they differ from the defaults.