xdweb/venoma-md-scorpion-id-beta
By xdweb · ↓ 0 · ♥ 0 · Updated 2025-07-07
What's in this repo
This page lists the files in xdweb/venoma-md-scorpion-id-beta, including best_b2_balanced.onnx, best_model.onnx.
- 2 ONNX models (.onnx files)
- 7 files, including 2 .onnx, 2 .torchscript, 1 .md, 1 .py
- Last updated 2025-07-07
ONNX files
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.
README
library_name: timm tags:
- computer-vision
- image-classification
- scorpion
- efficientnet license: mit datasets:
- venoma/scorpion-photos metrics:
- accuracy
- f1 model-index:
- name: MD Venoma ID (beta, B2)
results:
- task:
type: image-classification
dataset:
name: Moroccan Scorpion Photos
metrics:
- name: Accuracy value: 0.986
- name: Precision (Scorpio) value: 0.985
- name: Recall (Scorpio) value: 0.978
- task:
type: image-classification
dataset:
name: Moroccan Scorpion Photos
metrics:
MD Venoma ID (beta)
EfficientNet-B2 classifier distinguishing Buthus vs Scorpio scorpions.
- Val F1 ≈ 0.988
- Test accuracy ≈ 0.986
- Local = 1.00 · Global ≈ 0.984
- Scorpio precision ≈ 0.985 · recall ≈ 0.978
Early beta — do not rely on it as sole medical advice.
Early beta — do not rely on it as sole medical advice.
Files (7)
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