MTerryJack/Element-Detect-Vehicles

By MTerryJack · ↓ 0 · ♥ 0 · Updated 2026-02-16

What's in this repo

This page lists the files in MTerryJack/Element-Detect-Vehicles, including weights_with_metadata.onnx, yolov5s_weights.onnx.

2 ONNX models (.onnx files)
52 files, including 26 .json, 12 .png, 5 .jsonl, 2 .onnx, 1 .md, 1 .txt
Last updated 2026-02-16

ONNX files

File	Size	Download
weights_with_metadata.onnx	—	Download
yolov5s_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:yolov5 object:car object:big bus object:big truck object:bus-l- object:bus-s- object:mid truck object:small bus object:small truck object:truck-l-

↓ 0 ♥ 0

Created: 2026-01-30

Updated: 2026-02-16

View on Hugging Face

Files (52)

.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/2026-02-03T13-57-44.999293Z.json

benchmark/results/2026-02-06T16-26-39.695344Z.json

benchmark/sam3dataset/predictions/2026-02-04T14-18-08.746517Z.jsonl

benchmark/sam3dataset/predictions/2026-02-05T14-17-44.050168Z.jsonl

benchmark/sam3dataset/predictions/2026-02-05T16-40-10.474362Z.jsonl

benchmark/sam3dataset/predictions/2026-02-05T16-47-14.830160Z.jsonl

benchmark/sam3dataset/predictions/2026-02-05T16-47-35.488792Z.jsonl

benchmark/sam3dataset/results/2026-02-04T14-18-08.746517Z.json

benchmark/sam3dataset/results/2026-02-05T13-45-36.994094Z.json

benchmark/sam3dataset/results/2026-02-05T13-54-00.332283Z.json

benchmark/sam3dataset/results/2026-02-05T13-58-38.640042Z.json

benchmark/sam3dataset/results/2026-02-05T14-00-08.510298Z.json

benchmark/sam3dataset/results/2026-02-05T14-00-44.796172Z.json

benchmark/sam3dataset/results/2026-02-05T14-17-44.050168Z.json

benchmark/sam3dataset/results/2026-02-05T16-40-10.474362Z.json

benchmark/sam3dataset/results/2026-02-05T16-47-14.830160Z.json

benchmark/sam3dataset/results/2026-02-05T16-47-35.488792Z.json

benchmark/synthetic/index.json

benchmark/synthetic/latest.json

benchmark/synthetic/synthetic_47fd76cc71e344f7842f534795135245.json

benchmark/synthetic/synthetic_e433a5fe3d3f4cb0b6feccbb3ace2a87.json

class_names.txt

environment.json

example.jpg

main.py

model_type.json

pyproject.toml

uv.lock

weights_with_metadata.onnx ONNX

yolov5s_weights.onnx ONNX

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