MTerryJack/Element-Detect-WarehouseLogistics

By MTerryJack · ↓ 0 · ♥ 0 · Updated 2026-02-10

What's in this repo

This page lists the files in MTerryJack/Element-Detect-WarehouseLogistics, including weights.onnx.

1 ONNX models (.onnx files)
40 files, including 18 .json, 13 .png, 2 .jsonl, 1 .md, 1 .txt, 1 .py
Last updated 2026-02-10

ONNX files

File	Size	Download
weights.onnx	—	Download

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

No README provided by the author.

Model info

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

↓ 0 ♥ 0

Created: 2026-01-30

Updated: 2026-02-10

View on Hugging Face

Files (40)

.gitattributes

README.md

benchmark/images/1.png

benchmark/images/2.png

benchmark/images/3.png

benchmark/images/4.png

benchmark/labels/1.json

benchmark/labels/1.png

benchmark/labels/2.json

benchmark/labels/2.png

benchmark/labels/3.json

benchmark/labels/3.png

benchmark/labels/4.json

benchmark/labels/4.png

benchmark/predicted/1.json

benchmark/predicted/1.png

benchmark/predicted/2.json

benchmark/predicted/2.png

benchmark/predicted/3.json

benchmark/predicted/3.png

benchmark/predicted/4.json

benchmark/predicted/4.png

benchmark/results/2026-02-03T14-00-26.700105Z.json

benchmark/results/2026-02-06T16-16-13.772431Z.json

benchmark/results/2026-02-06T16-53-54.279598Z.json

benchmark/sam3dataset/predictions/2026-02-04T14-06-39.405656Z.jsonl

benchmark/sam3dataset/predictions/2026-02-06T16-53-45.583070Z.jsonl

benchmark/sam3dataset/results/2026-02-04T14-06-39.405656Z.json

benchmark/sam3dataset/results/2026-02-06T16-53-45.583070Z.json

benchmark/synthetic/index.json

benchmark/synthetic/latest.json

benchmark/synthetic/synthetic_f306cfd697334e638babd02bd4dfc2f6.json

class_names.txt

environment.json

example.png

main.py

model_type.json

pyproject.toml

uv.lock

weights.onnx ONNX

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