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Used base model from "SenseTime/deformable-detr" to train the object detector. It has been specifically trained on the FireDetDataset to effectively identify and localize key elements in emergency scenarios involving vegetation fires. This includes detection of humans, vehicles, and fire instances, with a focus on images captured from UAVs (Unmanned Aerial Vehicles).

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Model size

40.2M params

Tensor type

F32

Inference Examples

Object Detection

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