GitHub topics: disaster-classification
bunnysaini/Disaster-Classification
An image processing model to classify the type of disaster based on the image dataset.
Language: Jupyter Notebook - Size: 42 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0
yjwong1999/AL-based-FL-for-Multi-Task-Disaster-Detection-Model
We design a multi-task model for joint disaster classification and victim detection. We train the model using both the Centralized Learning (CL) and Federated Learning (FL) methods. We also tried Active Learning (AL) to see how it could help in reducing the labeling workload for disaster dataset. Lastly, we optimized the model using OpenVINO.
Language: Jupyter Notebook - Size: 11.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 1
JRC1995/BERT-Disaster-Classification-Capsule-Routing
Exploration of BERT-BiLSTM models with Layer Aggregation (attention-based and capsule-routing-based) and Hidden-State Aggregation (attention-based and capsule-routing-based).
Language: Python - Size: 9.59 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 23 - Forks: 4
yjwong1999/MobileNetV2-for-Disaster-Classification
Train a lightweight MobileNetV2 model for disaster classification using the Crisis Image Benchmark Datasets (CrisisIBD).
Language: Jupyter Notebook - Size: 23 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0