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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,111 datasets
World Bank data aggregates the number of companies compliant with the Task Force on Climate-Related Financial Disclosures (TCFD) framework within the health care sector. The dataset is compiled by the Country Climate and Development Report (CCDR) team, sourcing data from the TCFD. The temporal coverage and total record count are unspecified.
Aggregated data on the number of companies compliant with the Task Force on Climate-Related Financial Disclosures framework, organized by sector. The dataset is sourced from TCFD reports and aggregated by the World Bank's Country Climate and Development Report team. The specific temporal coverage is not provided.
TCFD-compliant company data is aggregated into sector brackets from the Task Force on Climate-Related Financial Disclosures. The dataset tracks the number of companies in the financial sector that report using the TCFD framework. It is sourced from the TCFD and aggregated by the World Bank's Country Climate and Development Report team.
Aggregated data on the number of companies within the Consumer Staples sector that are compliant with the Task Force on Climate-related Financial Disclosures (TCFD) framework. The data is sourced from the TCFD and aggregated by the Country Climate and Development Report (CCDR) team at the World Bank. The temporal coverage and update frequency are not specified.
Company counts for Task Force on Climate-Related Financial Disclosures compliance within the Communication Services sector. Data is aggregated from the TCFD framework and compiled by the Country Climate and Development Report organization. The temporal coverage and total record count are unspecified.
TCFD-compliant company data is sourced from the Task Force on Climate-Related Financial Disclosures and aggregated into sector brackets. The dataset focuses on the Consumer Discretionary sector, showing the number of companies meeting TCFD reporting standards. It was aggregated by the Country Climate and Development Report (CCDR) from the World Bank.
Indonesian Traditional Food Image Dataset is a multi-class image collection intended for computer vision tasks. The dataset likely contains photographs of various traditional Indonesian dishes. Its specific scale, creation details, and update history are unknown.
A checkpoint for a BERT model, likely named GuwenBert, trained for a specific task. The title suggests it is associated with a stage of repair or correction, possibly for text derived from OCR processes. It was published on the Kaggle platform.
TazeKutu Organic Delivery Churn Dataset is a business dataset published on Kaggle. The dataset likely contains records related to customer retention for an organic grocery delivery service. Metadata is minimal; the specific variables, size, and collection methodology require verification after download.
bdd100k-yolop-format is a dataset derived from the BDD100K autonomous driving dataset, converted to the YOLOP format. The dataset is hosted on Kaggle, but its specific size, annotation details, and creation date are not provided in the available metadata. The original BDD100K dataset is known for large-scale, diverse driving scene annotations.
A checkpoint file for a BERT model, likely named 'GuwenBert', trained on Chinese text. The title suggests it is associated with a training stage and epoch, indicating it is a snapshot of a machine learning model's parameters. It is hosted on the Kaggle platform.
A dataset for object detection tasks, likely containing images for training models. It is published on the Kaggle platform. The specific content, size, and creation details are not provided in the available metadata.
2,486 annotated images of the weed species 'ridderzuring' (Rumex acetosa) for object detection tasks. The dataset is part of the Roboflow 100 benchmark, a collection spanning 7 imagery domains, and was contributed by LibreYOLO. It was last updated on January 20, 2026.
YOLO_set is a dataset hosted on Kaggle, likely intended for training or benchmarking object detection models. The dataset's specific content, scale, and origin are not detailed in the provided metadata. Its title suggests a focus on the YOLO (You Only Look Once) family of computer vision architectures.
VGGFACE2 is a dataset for face recognition research, published on Kaggle. The dataset likely contains facial images intended for training and evaluating computer vision models. Specific details on the number of images, subjects, collection method, and time range are not provided in the available metadata.
Hiragana1 is a dataset published on Kaggle. The title suggests it contains images or data related to the Japanese hiragana syllabary. The dataset's specific content, size, and origin are not detailed in the provided metadata.
A dataset titled 'hiragana' hosted on Kaggle. The title suggests it likely contains data related to the Japanese phonetic alphabet. Kaggle is a platform for sharing datasets for machine learning and data science projects.
OCR-Data-Chien is a dataset published on Kaggle, likely containing images and text for optical character recognition tasks. The dataset's specific content, size, and origin are not detailed in the available metadata. Further verification is required to confirm the exact nature and scale of the data.
A dataset published on Kaggle, likely containing a checkpoint for a BERT model trained on classical Chinese (Guwen) text. The title suggests the data is associated with a model training stage, possibly involving text repair or OCR correction tasks. The specific source, collection method, and temporal coverage of the underlying text are not provided.
A tabular dataset from the World Health Organization (WHO) cataloging the existence of national non-governmental organizations (NGOs) focused on dementia. It documents the presence or absence of such organizations across different countries, supporting analysis of civil society engagement in dementia care and policy. The specific number of countries covered and the last update date are unknown.