Image Segmentation
Keras
English
adas
autonomous-driving
unet
lane-detection
semantic-segmentaion
computer-vision
Instructions to use yaraa11/road-lane-semantic-segmentation-unet-resnet50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use yaraa11/road-lane-semantic-segmentation-unet-resnet50 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://yaraa11/road-lane-semantic-segmentation-unet-resnet50") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7717ede760929fb82bb2d082185c60646e7db0e956214b3bb43da2c3df2c8ed5
- Size of remote file:
- 429 MB
- SHA256:
- 4ab01dca66dffef4decf41bc5aa3aaf1e4ce069b337b019ab3ae879a9a3cc6db
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