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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
17,713 datasets
Aggregating model predictions generated by AutoTrain for a multi-class image classification task on the Food101 dataset. The evaluated model is aspis/swin-finetuned-food101. The specific number of rows, columns, and data size are unknown.
Comprising model predictions generated by AutoTrain for a multi-class image classification task. The evaluated model is 'nateraw/food' on the Food101 dataset. The specific number of rows, columns, and file size are unknown.
A collection of model predictions from the AutoTrain evaluator for a multi-class image classification task. The evaluated model is nateraw/vit-base-beans-demo-v2, and the source dataset is 'beans'. The number of rows, columns, and specific data fields are unknown.
The FUNSD dataset is a resource for form understanding in noisy scanned documents, created by JetsonEarth. It was last updated on July 30, 2022.
Comprising model predictions generated by AutoTrain for a multi-class image classification task. The evaluated model is nateraw/vit-base-beans, and the source dataset is 'beans'. The number of rows, columns, and sample data are unknown.
Encompassing model predictions generated by AutoTrain for a multi-class image classification task on the beans dataset using the nateraw/vit-base-beans-demo-v3 model. The dataset was last updated on June 28, 2022. The number of rows, columns, and specific data fields are unknown.
Featuring model predictions generated by AutoTrain for a multi-class image classification task. The evaluated model is sasha/swin-tiny-finetuned-dogfood, and the source dataset is lewtun/dog_food. Specific details on row count, column structure, and sample data are unavailable.
Aggregating model predictions generated by AutoTrain for a multi-class image classification task. The evaluated model is 'abhishek/convnext-tiny-finetuned-dogfood' on the 'lewtun/dog_food' dataset.
Encompassing model predictions generated by AutoTrain for a multi-class image classification task. The predictions are for the 'Matthijs/snacks' dataset using the 'matteopilotto/vit-base-patch16-224-in21k-snacks' model. The specific number of rows, columns, and sample data are unknown.
Featuring model predictions from the AutoTrain evaluator for a multi-class image classification task. The evaluated model is douwekiela/resnet-18-finetuned-dogfood, and the source dataset is lewtun/dog_food. The data was last updated on June 27, 2022.
Featuring model predictions generated by AutoTrain for a multi-class image classification task on the MNIST-sample dataset. The task involves evaluating the 'autoevaluate/image-multi-class-classification' model. Specific details on row count, column structure, and sample data are unavailable.
Serving as for clickbait detection in Telugu, a resource-poor language. It was created by researchers for a 2021 IJCNN conference paper and published by author mounikaiiith.
Over 300,000 news articles from CNN and the DailyMail are paired with human-written multi-sentence summaries. The dataset, created by nschantz21 and hosted on Hugging Face, was last updated in July 2022. It is a processed version of the CNN/DailyMail dataset commonly used for abstractive text summarization tasks.
A collection of model predictions generated by AutoTrain for a summarization task using the echarlaix/bart-base-cnn-r2-18.7-d23-hybrid model on the CNN DailyMail dataset. The data was contributed by lewtun and last updated on June 24, 2022. Specific details on rows, columns, and file size are unavailable.
Evaluation results from an automated benchmarking project for text summarization models on the CNN/DailyMail dataset. The project was created by autoevaluate and last updated in July 2022. The specific scope and size of the results are not detailed.
Autoevaluate hosts a dataset for evaluating summarization models, derived from the CNN/DailyMail news article dataset. The project was created by the 'autoevaluate' organization and last updated on July 27, 2022. It is intended for staging and benchmarking automated evaluation metrics.
Historical enrollment, capacity, and utilization data for buildings and schools within the New York City public school system. The dataset includes columns for enrollment numbers, building capacity, and utilization rates, sourced from data.cityofnewyork.us. The data was last updated on May 9, 2022, and the historical report is noted as no longer being produced or maintained.
A fork of the GFPGAN project, a generative face restoration algorithm, uploaded by user 'normanschizogh' to Hugging Face. The repository was last updated in July 2022. Specific dataset details such as size, content, and structure are not provided in the available metadata.
New York City's Department of Buildings issued these permits for construction work between 1989 and 2013. The dataset includes over 30 columns detailing permit types, job locations, involved parties, and dates. It was originally released by data.cityofnewyork.us to provide data preceding the current DOB Permit Issuance system.
CNN DailyMail Parsed is a text dataset containing news articles and corresponding summaries. The dataset was uploaded to Hugging Face by nschantz21 and was last updated in July 2022. It is derived from the CNN/DailyMail dataset commonly used for text summarization tasks.