Transformers
Safetensors
PyTorch
English
SegformerForSemanticSegmentation
semantic-segmentation
segformer
agricultural-cv
Eval Results (legacy)
Instructions to use mujerry/nematode-segformer-b3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mujerry/nematode-segformer-b3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mujerry/nematode-segformer-b3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Log Segformer metrics curves, class-wise parameters for segformer-b3_run_2026-06-29_00-06_sample_50
Browse files
README.md
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## Model Summary
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- **Architecture Type:** Segformer (`nvidia/segformer-b3-finetuned-ade-512-512`)
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- **Train Sample Fraction:** `70.0% - 533/762`
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- **Val Sample Fraction:** `60.0% - 186/310`
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## Metric Curves
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## Model Summary
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- **Architecture Type:** Segformer (`nvidia/segformer-b3-finetuned-ade-512-512`)
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- **Train Sample Fraction:** `70.0% - 533/762 images`
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- **Val Sample Fraction:** `60.0% - 186/310 images`
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## Metric Curves
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