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
| 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 | |