Image Segmentation
Transformers
Safetensors
semantic-segmentation
drone
rgb
thermal
infrared
dinov3
aerial
Instructions to use markus-42/SegFly-Firefly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use markus-42/SegFly-Firefly with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="markus-42/SegFly-Firefly")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("markus-42/SegFly-Firefly", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| torch>=2.9 | |
| transformers==4.37.2 | |
| evaluate>=0.4.0 | |
| datasets>=2.20.0 | |
| numpy>=1.24.4 | |
| pandas>=1.5.3 | |
| albumentations>=1.3.1 | |
| opencv-python-headless>=4.9.0 | |
| safetensors | |
| tqdm | |
| pyyaml | |
| matplotlib>=3.8.2 | |
| torchmetrics>=1.8.2 | |
| torchvision | |
| termcolor | |