Instructions to use sequoiaandrade/Smoke-Cloud-Segmentation-RACE-ODIN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use sequoiaandrade/Smoke-Cloud-Segmentation-RACE-ODIN with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("sequoiaandrade/Smoke-Cloud-Segmentation-RACE-ODIN") - Notebooks
- Google Colab
- Kaggle
Smoke Cloud Segmentation Model
The paper for the model is available here: https://doi.org/10.1016/j.cageo.2025.105960
This model is part of the Open Data Integration ODIN (https://nasarace.github.io/race-odin/) project built using the Runtime for Airspace Concept Evaluation (RACE) framework (https://nasarace.github.io/race/)
Copyright (c) 2022, United States Government, as represented by the Administrator of the National Aeronautics and Space Administration. All rights reserved.
The RACE - Runtime for Airspace Concept Evaluation platform is licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0.
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
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