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
| { | |
| "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" | |
| } | |
| } |