Datasets:

SilverAvocado
/

Silver-Multimodal-Dataset

Tasks:

Object Detection

Text Classification

Feature Extraction

Modalities:

Languages:

Size:

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SeoyeonPark1223 commited on Dec 11, 2024

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 	    - The `.npy` format ensures fast loading and processing, suitable for large-scale training.
 	3.	Real-World Applications:
 	    - Designed for safety systems, healthcare monitoring, and smart home applications.
-        - Adaptation in `SilverAssistant` project: [HuggingFace SilverAssistant Model](https://huggingface.co/SilverAvocado/SilverAssistant)
 - This dataset enables the development of robust multimodal models for detecting critical situations with high accuracy and efficiency.

 	    - The `.npy` format ensures fast loading and processing, suitable for large-scale training.
 	3.	Real-World Applications:
 	    - Designed for safety systems, healthcare monitoring, and smart home applications.
+        - Adaptation in `SilverAssistant` project: [HuggingFace Silver-Multimodal Model](https://huggingface.co/SilverAvocado/Silver-Multimodal)
 - This dataset enables the development of robust multimodal models for detecting critical situations with high accuracy and efficiency.