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README.md
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|**Figure #.** [Image of <>](https://huggingface.co/imageomics/<data-repo>/raw/main/<filename>) <caption description>.|
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# Dataset Card for Fish-Visual Trait Analysis (Fish-Vista)
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The Fish Vista dataset consists of museum fish images from [Great Lakes Invasives Network (GLIN)](https://greatlakesinvasives.org/portal/index.php), [iDigBio](https://www.idigbio.org/), and [Morphbank](https://www.morphbank.net/) databases. We acquired these images, along with associated metadata including the scientific species names, the taxonomical family the species belong to, and licensing information, from the [Fish-AIR repository](https://fishair.org/).
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||
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|**Figure 1.** A schematic representation of the different tasks in Fish-Vista Dataset. |
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### Supported Tasks and Leaderboards
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<!--[Add some more description. could replace graphs with tables]-->
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||
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|**Figure 2.** Comparison of the fine-grained classification performance of different imbalanced classification methods. |
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||
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|**Figure 3.** Trait identification performance of different multi-label classification methods. |
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This is what _you_ did to it following collection from the original source; it will be overall processing if you collected the data initially.
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||
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|**Figure 4.** An overview of the data processing and filtering pipeline used to obtain Fish-Vista. |
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|**Figure #.** [Image of <>](https://huggingface.co/datasets/imageomics/<data-repo>/raw/main/<filename>) <caption description>.|
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# Dataset Card for Fish-Visual Trait Analysis (Fish-Vista)
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The Fish Vista dataset consists of museum fish images from [Great Lakes Invasives Network (GLIN)](https://greatlakesinvasives.org/portal/index.php), [iDigBio](https://www.idigbio.org/), and [Morphbank](https://www.morphbank.net/) databases. We acquired these images, along with associated metadata including the scientific species names, the taxonomical family the species belong to, and licensing information, from the [Fish-AIR repository](https://fishair.org/).
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||
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|**Figure 1.** A schematic representation of the different tasks in Fish-Vista Dataset. |
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### Supported Tasks and Leaderboards
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<!--[Add some more description. could replace graphs with tables]-->
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||
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|**Figure 2.** Comparison of the fine-grained classification performance of different imbalanced classification methods. |
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||
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|**Figure 3.** Trait identification performance of different multi-label classification methods. |
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This is what _you_ did to it following collection from the original source; it will be overall processing if you collected the data initially.
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||
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|**Figure 4.** An overview of the data processing and filtering pipeline used to obtain Fish-Vista. |
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