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README.md
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model-index:
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- name: Aerial-Drone-Image-Segmentation
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Aerial-Drone-Image-Segmentation
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This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0)
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It achieves the following results on the evaluation set:
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- Loss: 0.8852
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- Mean Iou: 0.2994
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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| 0.8089 | 50.0 | 800 | 0.8852 | 0.2994 | 0.3923 | 0.7774 |
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### Framework versions
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- Transformers 4.38.1
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- Pytorch 2.1.2
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- Datasets 2.1.0
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- Tokenizers 0.15.2
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model-index:
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- name: Aerial-Drone-Image-Segmentation
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results: []
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pipeline_tag: image-segmentation
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Aerial-Drone-Image-Segmentation
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This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0)
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It achieves the following results on the evaluation set:
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- Loss: 0.8852
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- Mean Iou: 0.2994
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More information needed
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### Training hyperparameters
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| 0.8089 | 50.0 | 800 | 0.8852 | 0.2994 | 0.3923 | 0.7774 |
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### Framework versions
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- Transformers 4.38.1
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- Pytorch 2.1.2
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- Datasets 2.1.0
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- Tokenizers 0.15.2
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