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README.md
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license: mit
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tags:
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- yolov8n
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- object-detection
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# Model Card for YOLOv8n Rubber Duck Detection
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This model is a fine-tuned version of YOLOv8n specifically optimized for rubber duck detection. It was developed after inspiration to improve rubber duck detection on a course setup for the [HackerBot Industries HB 0x01 hackathon](https://www.hackerbot.co/) with the specific goal of detecting coordinates for rubber ducks in live video feeds.
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Actual inference time on an RaspberryPi 5 was around 330ms, though the entire process took much longer. More evaluation is necessary to determine if the time to respond is due to other limitations or if a smaller model is justified.
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---
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tags:
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- yolov8n
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- object-detection
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# Model Card for YOLOv8n Rubber Duck Detection
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NOTE: I DO NOT RECOMMEND USING THIS MODEL AT THIS TIME there is an open discussion around licensing related to the data.
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See [related licensing discussion on the forum](https://discuss.huggingface.co/t/use-of-unlicensed-hf-datasets/138189)
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This model is a fine-tuned version of YOLOv8n specifically optimized for rubber duck detection. It was developed after inspiration to improve rubber duck detection on a course setup for the [HackerBot Industries HB 0x01 hackathon](https://www.hackerbot.co/) with the specific goal of detecting coordinates for rubber ducks in live video feeds.
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Actual inference time on an RaspberryPi 5 was around 330ms, though the entire process took much longer. More evaluation is necessary to determine if the time to respond is due to other limitations or if a smaller model is justified.
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