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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
17,713 datasets
Evaluation results for a text summarization model tested on the CNN/DailyMail news dataset. The project was created by autoevaluate and last updated on July 20, 2022. The specific model and metric scores are not detailed in the provided metadata.
A dataset for evaluating text summarization models, derived from the CNN/DailyMail news corpus. The project was created by autoevaluate and uploaded to Hugging Face in July 2022. It is intended for use in automated evaluation staging environments.
Autoevaluate's staging project contains a benchmark dataset for evaluating text summarization models, derived from the CNN/DailyMail news corpus. The project was created by the 'autoevaluate' organization and last updated in July 2022. This dataset is used for staging evaluation runs within the Autoevaluate platform.
Autoevaluate created this dataset on July 19, 2022, containing evaluation results for a text summarization project. The project is based on the CNN/DailyMail dataset, a benchmark for summarization models. It appears to be an automated evaluation staging project for assessing model performance.
Autoevaluate's staging project hosts a version of the CNN/DailyMail dataset, a standard benchmark for text summarization models. The dataset contains news articles paired with human-written highlights, created by researchers for evaluating abstractive summarization systems. This specific instance was uploaded by the 'autoevaluate' user on Hugging Face in July 2022.
An image dataset for training models to recognize human actions, curated by author beurkinger. It is hosted on Hugging Face and was last updated in July 2022. Platform tags indicate it contains between 10,000 and 100,000 image samples.
E5Ab4B07 11025479 is a staging evaluation project for the CNN/DailyMail summarization dataset, created by autoevaluate for automated AI model assessment. The dataset contains news articles paired with human-written summaries, serving as a standard benchmark for text generation tasks. It was last updated on the Hugging Face platform in July 2022.
Autoevaluate hosts a dataset for evaluating text summarization models, derived from the CNN/DailyMail news article dataset. The project was created by 'autoevaluate' and was last updated in July 2022. It appears to be a staging or evaluation subset for benchmarking model performance.
A 2022 dataset from autoevaluate for staging evaluations on the CNN/DailyMail news summarization benchmark. It is designed for automated evaluation of machine learning models, specifically for text summarization tasks. The dataset's purpose is to provide a standardized testbed for model performance assessment.
Autoevaluate's staging project contains data for evaluating models on the CNN/DailyMail news summarization task. The dataset was uploaded by the user 'autoevaluate' on July 15, 2022. It appears to be a benchmark dataset used for testing automated text summarization systems.
The CORD (Consolidated Receipt Dataset) contains receipt images with normalized bounding box annotations for text parsing. The dataset is crowdsourced, monolingual, and categorized for token classification tasks. The size is estimated between 1,000 and 10,000 samples.
A project named 'Autoeval Staging Eval Project Cnn Dailymail 899C0B5B 10935469' was created by autoevaluate on the Hugging Face platform, last updated on July 15, 2022. It is associated with the CNN/DailyMail dataset, a standard benchmark for text summarization. The project's specific purpose and internal data volume are not detailed in the provided metadata.
Synthetic multiview video sequences and 3D annotations for cattle detection and action recognition. The data includes synchronized camera angles and behavioral labels for livestock monitoring in simulated environments.
Autoevaluate provides evaluation results for models tested on the CNN/DailyMail news summarization dataset. The project contains outputs from an automated evaluation run identified as '73D015E6 10555410'. This staging evaluation was created by the 'autoevaluate' organization and was last updated in July 2022.
WildReceipt contains 1,765 photos of receipts, each annotated with OCR text boxes and 25 key information classes. The dataset provides 50,000 text boxes with bounding boxes and text, created by Theivaprakasham for benchmarking key information extraction from documents.
Containing 11,788 bird images across 200 fine-grained species subclasses, with 5,994 images for training and 5,794 for testing. Each image includes a class label, a bounding box for the bird, part location information, and species attribute data.
A sample dataset from the SROIE 2019 competition, authored by Saripudin. The dataset contains text modality data, but specific row and column counts are unknown.
Pascal VOC 2012 is a standard benchmark dataset for object detection, segmentation, and classification in computer vision. It contains thousands of annotated images across 20 object categories. The dataset was created by the PASCAL VOC project and uploaded to Hugging Face by nateraw in 2022.
VGG-Face2 HQ is a dataset for face recognition and analysis, containing high-resolution images of human faces. The dataset was created by author neuralchen and uploaded to HuggingFace in June 2022. Specific details on the number of identities, images, and collection methodology are not provided in the available metadata.
Functioning as associated with the Pixel2Style2Pixel project, authored by Impostor. It was last updated on June 9, 2022, and is tagged with a Creative Commons Attribution 4.0 license and a US region focus.