This modelcard aims to be a base template for new models. It has been generated using this raw template.
Model Details
Model Description
ViT branch: loaded from natix-network-org/roadwork (same reference).
YOLO branch:best.pt (in this repo).
EfficientNetV2 + fusion:final_output.keras (in this repo).
Run prediction: python run.py <path_to_image>.
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Language(s) (NLP): [More Information Needed]
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Finetuned from model [optional]: [More Information Needed]
Model Sources [optional]
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Demo [optional]: [More Information Neede
d]
Uses
Same style as the reference: load one model, then predict images.
python
1from run import load_model
23# Load once (all weights combined from this repo)4model = load_model()5# Or from HuggingFace: model = load_model(repo_id="MichaelEdward/roadwork-miner")67# Predict8label = model(image)# PIL or numpy (224,224,3) -> 0 or 19label = model("path/to.jpg")# or pass image path
CLI:
python run.py <path_to_image>
Direct Use
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Downstream Use [optional]
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Out-of-Scope Use
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Bias, Risks, and Limitations
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Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
