| { |
| "@context": { |
| "@language": "en", |
| "@vocab": "https://schema.org/", |
| "arrayShape": "cr:arrayShape", |
| "citeAs": "cr:citeAs", |
| "column": "cr:column", |
| "conformsTo": "dct:conformsTo", |
| "containedIn": "cr:containedIn", |
| "cr": "http://mlcommons.org/croissant/", |
| "data": { |
| "@id": "cr:data", |
| "@type": "@json" |
| }, |
| "dataBiases": "cr:dataBiases", |
| "dataCollection": "cr:dataCollection", |
| "dataType": { |
| "@id": "cr:dataType", |
| "@type": "@vocab" |
| }, |
| "dct": "http://purl.org/dc/terms/", |
| "extract": "cr:extract", |
| "field": "cr:field", |
| "fileProperty": "cr:fileProperty", |
| "fileObject": "cr:fileObject", |
| "fileSet": "cr:fileSet", |
| "format": "cr:format", |
| "includes": "cr:includes", |
| "isArray": "cr:isArray", |
| "isLiveDataset": "cr:isLiveDataset", |
| "jsonPath": "cr:jsonPath", |
| "key": "cr:key", |
| "md5": "cr:md5", |
| "parentField": "cr:parentField", |
| "path": "cr:path", |
| "personalSensitiveInformation": "cr:personalSensitiveInformation", |
| "recordSet": "cr:recordSet", |
| "references": "cr:references", |
| "regex": "cr:regex", |
| "repeated": "cr:repeated", |
| "replace": "cr:replace", |
| "sc": "https://schema.org/", |
| "separator": "cr:separator", |
| "source": "cr:source", |
| "subField": "cr:subField", |
| "transform": "cr:transform", |
| "rai": "http://mlcommons.org/croissant/RAI/", |
| "prov": "http://www.w3.org/ns/prov#" |
| }, |
| "@type": "sc:Dataset", |
| "distribution": [ |
| { |
| "@type": "cr:FileObject", |
| "@id": "repo", |
| "name": "repo", |
| "description": "The Hugging Face git repository.", |
| "contentUrl": "https://huggingface.co/datasets/perona-lab/cfc26-mini/tree/refs%2Fconvert%2Fparquet", |
| "encodingFormat": "git+https", |
| "sha256": "https://github.com/mlcommons/croissant/issues/80" |
| }, |
| { |
| "@type": "cr:FileSet", |
| "@id": "parquet-files-for-config-default", |
| "containedIn": { |
| "@id": "repo" |
| }, |
| "encodingFormat": "application/x-parquet", |
| "includes": "default/*/*.parquet" |
| } |
| ], |
| "recordSet": [ |
| { |
| "@type": "cr:RecordSet", |
| "dataType": "cr:Split", |
| "key": { |
| "@id": "default_splits/split_name" |
| }, |
| "@id": "default_splits", |
| "name": "default_splits", |
| "description": "Splits for the default config.", |
| "field": [ |
| { |
| "@type": "cr:Field", |
| "@id": "default_splits/split_name", |
| "dataType": "sc:Text" |
| } |
| ], |
| "data": [ |
| { |
| "default_splits/split_name": "train" |
| } |
| ] |
| }, |
| { |
| "@type": "cr:RecordSet", |
| "@id": "default", |
| "description": "perona-lab/cfc26-mini - 'default' subset", |
| "field": [ |
| { |
| "@type": "cr:Field", |
| "@id": "default/split", |
| "dataType": "sc:Text", |
| "source": { |
| "fileSet": { |
| "@id": "parquet-files-for-config-default" |
| }, |
| "extract": { |
| "fileProperty": "fullpath" |
| }, |
| "transform": { |
| "regex": "default/(?:partial-)?(train)/.+parquet$" |
| } |
| }, |
| "references": { |
| "field": { |
| "@id": "default_splits/split_name" |
| } |
| } |
| }, |
| { |
| "@type": "cr:Field", |
| "@id": "default/image", |
| "dataType": "sc:ImageObject", |
| "source": { |
| "fileSet": { |
| "@id": "parquet-files-for-config-default" |
| }, |
| "extract": { |
| "column": "image" |
| }, |
| "transform": { |
| "jsonPath": "bytes" |
| } |
| } |
| }, |
| { |
| "@type": "cr:Field", |
| "@id": "default/label", |
| "dataType": "sc:Integer", |
| "source": { |
| "fileSet": { |
| "@id": "parquet-files-for-config-default" |
| }, |
| "extract": { |
| "column": "label" |
| } |
| } |
| } |
| ] |
| } |
| ], |
| "conformsTo": "http://mlcommons.org/croissant/1.1", |
| "name": "cfc26-mini", |
| "description": "\n\t\n\t\t\n\t\tCFC26-Mini Dataset Card\n\t\n\n\n\t\n\t\t\n\t\tDataset Summary\n\t\n\nCFC26-Mini is a curated sample of the full CFC26 dataset — a large-scale benchmark for fish detection and counting in underwater ARIS sonar video collected across 9 field locations in North America. This mini version is intended for demonstration purposes.\n\nNote: This is a sample of the full CFC26 dataset. The full dataset contains thousands of clips and hundreds of thousands of annotated frames across all locations and splits. See… See the full description on the dataset page: https://huggingface.co/datasets/perona-lab/cfc26-mini.", |
| "alternateName": [ |
| "perona-lab/cfc26-mini" |
| ], |
| "creator": { |
| "@type": "Organization", |
| "name": "Perona Lab", |
| "url": "https://huggingface.co/perona-lab" |
| }, |
| "keywords": [ |
| "object-detection", |
| "mit", |
| "< 1K", |
| "imagefolder", |
| "Image", |
| "Datasets", |
| "Croissant", |
| "🇺🇸 Region: US" |
| ], |
| "license": "https://choosealicense.com/licenses/cc-by-4.0/", |
| "url": "https://huggingface.co/datasets/perona-lab/cfc26-mini", |
| "rai:dataLimitations": "The mini dataset contains locations that have 1 clip per training split. This is for demonstration purposes only. The dataset is limited to sonar-based fish counting in riverine environments and may not generalize to other sensing modalities (e.g., optical video), marine/open-ocean settings, or species with substantially different motion or morphology. While expanded to nine river systems, geographic and ecological coverage remains incomplete (North America only), and certain river conditions (e.g., extreme turbidity, rare seasonal events, or atypical flow regimes) may be underrepresented. Annotation quality may be affected by low signal-to-noise ratios and ambiguity in fish visibility, particularly in dense or occluded scenes. The dataset is not recommended for tasks requiring fine-grained species classification, individual fish re-identification, or appearance-based recognition independent of motion cues.", |
| "rai:dataBiases": "The mini dataset may exhibit selection bias toward rivers and deployment sites where sonar systems and data collection is feasible, potentially over-representing current sites of interest in North America. Environmental conditions (e.g., typical flow, sonar artifacts) and species distributions may be unevenly sampled, leading to skewed representations of fish behavior and density. Label bias may arise from human annotation under low-visibility conditions, where temporal cues are required and ambiguous cases may be inconsistently labeled. These biases may cause models to overfit to common environmental patterns or fish movement dynamics and underperform in rare or extreme conditions.", |
| "rai:personalSensitiveInformation": "The dataset does not contain personal or human-related sensitive information. It consists of sonar imagery of fish in natural river environments.", |
| "rai:dataUseCases": "The mini dataset represents fish passage and abundance as measured through sonar-based observations. It is intended for demonstration purposes only. Valid use case is visualizing environmental variation. The dataset is not validated for unrelated vision tasks (e.g., generic object detection), nor for ecological inference beyond aggregate counting (e.g., behavioral studies or species classification).", |
| "rai:dataSocialImpact": "Positive impacts include improved accuracy and reliability of fish population estimates, which can support sustainable fisheries management, conservation efforts, and evidence-based environmental policy. By enabling evaluation under distribution shift, the dataset may reduce deployment failures in new locations. Potential risks include over-reliance on automated systems without sufficient human oversight, which could propagate systematic errors into policy decisions. There is also a risk that models trained on this dataset may perform poorly in underrepresented environments, leading to inequities in monitoring quality across regions. No direct risks to individuals or communities are present, and no access restrictions are currently imposed beyond standard research use.", |
| "rai:hasSyntheticData": false, |
| "prov:wasDerivedFrom": [ |
| { |
| "@id": "https://huggingface.co/datasets/perona-lab/cfc26", |
| "prov:label": "Caltech Fish Counting Dataset 2026 (CFC26)", |
| "sc:license": "CC by 4.0" |
| }, |
| { |
| "@id": "https://data.caltech.edu/records/1y23m-j8r69", |
| "prov:label": "Caltech Fish Counting Dataset 2022 (CFC22)", |
| "sc:license": "MIT" |
| } |
| ] |
| } |
