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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,453 datasets
Datos.gov.co provides a public directory of presidents for communal organizations in the municipality of Tauramena, Colombia. The dataset lists individuals by name, location, and administrative zone. It was last updated in December 2025.
Departmental winners of the Phase II call for artistic and cultural stimulus projects are listed. The dataset includes project names, areas, and action lines. It was published by datos.gov.co and last updated in December 2025.
French hiking signs annotated with bounding boxes and optical character recognition labels. The dataset is intended for object detection and image text detection tasks in European outdoor environments. Specific row counts, column details, and temporal coverage are not provided.
Physics-inspired time-series signals are provided for aerial object detection. The dataset is tagged for applications in Engineering, Atmospheric Science, Geography, and Aviation. Specific details on row count, column features, and data provenance are unavailable.
Data from 2017 onward details cattle farming types and predominant breeds across municipalities. It includes counts and percentages for animals in dual-purpose, specialized dairy, and integrated fattening systems. The dataset is published by the Colombian government via datos.gov.co.
VFHQ Raw Synced is a dataset containing synchronized video and audio data, as indicated by its folder structure. The dataset was uploaded to Hugging Face by Holasyb918 and was last updated on 2026-01-28 02:44:23. It follows the same license as the original VFHQ dataset, which users must verify before use.
Over 5,000 images containing text with corresponding labels for optical character recognition tasks. The dataset was sourced from Kaggle, but the author, organization, and creation date are not specified. The specific content and format of the labels are unknown from the provided description.
A dataset of high-resolution, wide-view images annotated for object detection. The dataset focuses on Asian hornets, European hornets, and wasps. The author, organization, and specific size are unknown.
Kaggle hosts a dataset titled 'yolo_dataset' intended for computer vision tasks. The dataset's specific content, size, and creation details are not provided in the metadata. Its nature is inferred from the platform tags, which suggest it contains images for object detection model training.
YOLOv8small is a dataset from Kaggle, likely containing model weights and configuration files for the 'small' variant of the YOLOv8 object detection architecture. The dataset's specific contents, such as training data or annotations, are not detailed in the provided metadata. Its author, size, and last update date are unknown.
defficientnetv2m is a dataset of pre-trained model weights published on Kaggle. The dataset likely contains the parameters for a neural network architecture, possibly a variant of EfficientNetV2, intended for image processing tasks. The specific source, creation date, and detailed contents require verification after download.
A dataset for object detection tasks, likely containing images and associated bounding box annotations. It is published on Kaggle and categorized under computer vision and YOLO-related topics. The specific scale, source, and creation details are not provided in the available metadata.
A pretrained ResNet-50 model for image classification tasks, hosted on Kaggle. The dataset likely contains the model weights and architecture files necessary for transfer learning. Specific details on the training data, author, and last update are not provided in the metadata.
A pre-trained model for computer vision tasks, hosted on Kaggle. The specific architecture, training data, and performance metrics are not detailed in the available metadata. Users must download the model to verify its capabilities and intended application.
Kaggle hosts a dataset titled 'test-ocr', likely containing images and text for evaluating optical character recognition systems. The dataset's author, organization, size, and specific contents are not detailed in the provided metadata. Its recency and geographic scope are also unknown.
YOLO12x is a dataset published on Kaggle. The dataset's title suggests a focus on object detection, likely for training or benchmarking computer vision models. Specific details on size, content, and creation are unavailable from the provided metadata.
Kaggle hosts a collection of datasets likely intended for training and evaluating YOLO (You Only Look Once) object detection models. The datasets likely contain annotated images. The specific scale, source, and creation date are unknown.
KEYPOINT is a dataset published on Kaggle. Its specific content and scale are not detailed in the provided metadata. The dataset's nature is inferred from its title, which suggests a focus on keypoint features, commonly used in computer vision tasks.
A dataset likely related to the CycleGAN framework for unpaired image-to-image translation. It was published on Kaggle, but the specific number of image pairs, source domains, and creation details are not provided in the metadata. The original CycleGAN research introduced a method for translating images between two domains without requiring paired examples.
YOLO12N is a dataset published on Kaggle. The title suggests it is likely related to object detection, a common computer vision task. The dataset's specific content, size, and origin are unknown from the provided metadata.