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
File size: 377 Bytes
d13055a 5bbe516 d13055a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"model_type": "SegformerForSemanticSegmentation",
"backbone": "nvidia/segformer-b3-finetuned-ade-512-512",
"input_resolution": "Dynamic (Resized by Image Processor)",
"learning_rate": 6e-05,
"epochs": 150,
"batch_size": 8,
"train_sample_fraction": 0.7,
"classes": {
"0": "background",
"1": "damage",
"2": "root"
}
} |