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README.md
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type: aquatic-trash # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
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name: combined-trash-images # Required. A pretty name for the dataset. Example: Common Voice (French)
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metrics:
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- type: accuracy-radius # Required. Example: wer. Use metric id from https://hf.co/metrics
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value: 27.47 # Required. Example: 20.90
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---
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# Trashnet - Trash Identification model for forensic trash cleanup
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type: aquatic-trash # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
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name: combined-trash-images # Required. A pretty name for the dataset. Example: Common Voice (French)
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metrics:
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- type: accuracy-radius-1 # Required. Example: wer. Use metric id from https://hf.co/metrics
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value: 27.47 # Required. Example: 20.90
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- name: Trashnet r = 2
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results:
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- task:
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type: trash-classification # Required. Example: automatic-speech-recognition
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dataset:
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type: aquatic-trash # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
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name: combined-trash-images # Required. A pretty name for the dataset. Example: Common Voice (French)
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metrics:
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- type: accuracy-radius-2 # Required. Example: wer. Use metric id from https://hf.co/metrics
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value: 51.53 # Required. Example: 20.90
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- name: Trashnet r = 3
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results:
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- task:
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type: trash-classification # Required. Example: automatic-speech-recognition
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dataset:
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type: aquatic-trash # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
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name: combined-trash-images # Required. A pretty name for the dataset. Example: Common Voice (French)
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metrics:
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- type: accuracy-radius-3 # Required. Example: wer. Use metric id from https://hf.co/metrics
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value: 62.97 # Required. Example: 20.90
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---
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# Trashnet - Trash Identification model for forensic trash cleanup
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