README.md

metadata

tags:
  - element_type:detect
  - model:yolov8n
  - object:barcode
  - object:car
  - object:cardboard box
  - object:fire
  - object:forklift
  - object:freight container
  - object:gloves
  - object:helmet
  - object:ladder
  - object:license plate
  - object:person
  - object:qr code
  - object:road sign
  - object:safety vest
  - object:smoke
  - object:traffic cone
  - object:traffic light
  - object:truck
  - object:van
  - object:wood pallet
manako:
  description: >-
    Logistics Pre-trained Object Detection Model. Classes:Barcode, QR Code, Car,
    Truck, Van, Cardboard Box, Wood Pallet, Freight Container, Fire, Smoke,
    Forklift, Gloves, Helmet, Safety Vest, Ladder, License Plate, Person, Road
    Sign, Traffic Cone, Traffic Light
  source: https://universe.roboflow.com/large-benchmark-datasets/logistics-sz9jr
  prompt_hints:
    - dashcam view, indoor lighting, parking lot
    - traffic camera view, lane markings, highway
    - laboratory, construction materials, eye-level view
  input_payload:
    - name: frame
      type: image
      description: RGB frame
  output_payload:
    - name: detections
      type: detections
      description: List of detections
  evaluation_score: 0.7449190139850637
  last_benchmark:
    type: synthetic_fixed
    ran_at: '2026-02-10T23:09:56.846810Z'
    result_path: benchmark/synthetic/synthetic_f306cfd697334e638babd02bd4dfc2f6.json