---
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
  input_payload:
  - name: frame
    type: image
    description: RGB frame
  output_payload:
  - name: detections
    type: detections
    description: List of detections
  evaluation_score: 0.7690604340214497
  last_benchmark:
    type: detect-iou-v1
    ran_at: '2026-01-31T03:32:11.510801Z'
    result_path: benchmark/results/2026-01-31T03-32-11.510822Z.json
---