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@@ -41,6 +41,7 @@ Actual inference time on an RaspberryPi 5 was around 330ms, though the entire pr
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  In any case, initial results suggest that this model could enable more accurate navigation within the hackathon course through improved duck location detection capabilities.
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  ## Model Details
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@@ -54,7 +55,6 @@ In any case, initial results suggest that this model could enable more accurate
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  ### Model Sources
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  - **Base Model:** [YOLOv8n.pt](https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8n.pt)
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- - **Demo:** [Duck Detection Demo Space](https://huggingface.co/spaces/brainwavecollective/duck-duck-go)
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  - **Original Datasets:**
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  - [Rubber-Duck-blip-captions](https://huggingface.co/datasets/Norod78/Rubber-Duck-blip-captions) by Norod78
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  - [rubber_ducks](https://huggingface.co/datasets/linoyts/rubber_ducks) by linoyts
 
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  In any case, initial results suggest that this model could enable more accurate navigation within the hackathon course through improved duck location detection capabilities.
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+ **Demo:** [Rubber Duck Detection Demo Space](https://huggingface.co/spaces/brainwavecollective/duck-duck-go)
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  ## Model Details
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  ### Model Sources
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  - **Base Model:** [YOLOv8n.pt](https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8n.pt)
 
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  - **Original Datasets:**
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  - [Rubber-Duck-blip-captions](https://huggingface.co/datasets/Norod78/Rubber-Duck-blip-captions) by Norod78
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  - [rubber_ducks](https://huggingface.co/datasets/linoyts/rubber_ducks) by linoyts