ONNX
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
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
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