---
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
---