MTerryJack/Element-Detect-RottenFruit

By MTerryJack · ↓ 0 · ♥ 0 · Updated 2026-02-06

What's in this repo

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

1 ONNX models (.onnx files)
32 files, including 12 .png, 12 .json, 1 .md, 1 .txt, 1 .jpeg, 1 .py
Last updated 2026-02-06

ONNX files

File	Size	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:yolov5v6n object:bad apple object:bad banana object:bad orange object:bad pomegranate object:good apple object:good banana object:good orange object:good pomegranate region:us

↓ 0 ♥ 0

Created: 2026-01-30

Updated: 2026-02-06

View on Hugging Face

Files (32)

.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/2026-02-03T13-53-13.085296Z.json

benchmark/results/2026-02-06T16-25-21.491877Z.json

class_names.txt

environment.json

example.jpeg

main.py

model_type.json

pyproject.toml

uv.lock

yolov5s_weights.onnx ONNX

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