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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,371 datasets
73 regional international organizations from 1945 to 2020 are documented in this database, which tracks changes in their internal and external policy competencies over time. The data is derived from the organizations' primary law documents, providing a structured view of their evolving mandates.
YOLO Lang Dataset is a computer vision dataset published on Kaggle. Its title suggests it contains images likely intended for training or benchmarking object detection models using the YOLO framework. The dataset's specific contents, scale, and origin are not detailed in the available metadata.
A dataset of avocado images formatted for YOLO object detection models. It was published on Kaggle, though the author, organization, and specific collection details are unknown. The dataset's size, number of images, and creation date are not provided in the available metadata.
An image dataset focused on rice quality, published on Kaggle. The dataset likely contains images of rice grains or products for visual analysis. Metadata is minimal; actual content requires verification after download.
YOLOv10n-p2-200-best.pt is a model weights file published on Kaggle. The filename suggests it is a PyTorch checkpoint for a YOLOv10 neural network, likely trained for 200 epochs. Its specific performance and training data are not described in the provided metadata.
A text dataset likely derived from CNN and Daily Mail news articles, commonly used for automatic summarization tasks. It is published on the Kaggle platform. The specific size, creation date, and author are unknown from the provided metadata.
Kaggle hosts a dataset titled 'Course of CNN realy explain'. The dataset likely contains information related to explaining or interpreting Convolutional Neural Networks. Metadata is minimal; the specific content, scale, and origin require verification after download.
YOLOv5_Ultralytics is a dataset related to the YOLOv5 object detection model, published on Kaggle. The dataset likely contains images and annotations for training or evaluating object detection systems. Specific details such as the number of images, annotation format, and creation date are not provided in the available metadata.
Data-Process-Human-Fall-Detection-v4i-yolov11 is a dataset hosted on Kaggle. The title suggests it contains images for training and evaluating computer vision models, specifically for human fall detection. It is likely formatted for use with the YOLOv11 object detection framework.
PCB_Defect_YOLOv11_big_dataset_01 is a dataset hosted on Kaggle, likely containing images of printed circuit boards. The title suggests the collection is intended for training object detection models, specifically using the YOLOv11 architecture. The dataset's author, organization, and specific scale are currently unknown.
A dataset titled 'Data-Process-Fall-Detection-resized640-yolov11' was published on Kaggle. The title suggests it contains images processed for fall detection tasks, likely resized to 640 pixels for use with the YOLOv11 object detection model. No further metadata on size, source, or annotation details is provided.
Social science researchers Fedor Boboshin, Rustamdjan Hakimov, and Dominic Rohner released this dataset in March 2026 to analyze how generative AI promotes democratic values globally. The data focuses on cross-country variations in chatbot outputs to measure the soft power influence of artificial intelligence.
Annual attendance figures for over 250 parks, historic sites, and recreational facilities managed by the New York State Office of Parks, Recreation and Historic Preservation. The data is organized by OPRHP region and county, tracking visitor numbers from 2003 onward for facilities that collectively host 74 million annual visits.
Keypoints is a dataset published on Kaggle. The dataset's specific content, scale, and origin are not detailed in the provided metadata. Its title suggests it likely contains coordinate or descriptor data for visual feature points.
A collection of medical images for skin lesion and acne analysis. The dataset includes original images, corresponding segmentation masks, and YOLO-format labels for object detection. It was sourced from Kaggle, but the author, organization, and specific collection details are not provided.
A dataset titled 'yolo_lang_dataset' is hosted on Kaggle. Its specific content, scale, and creation details are not provided in the available metadata. The title suggests it is likely intended for training or evaluating object detection models using the YOLO framework.
VR_YOLO-bbox_Cropped_Images is a dataset of cropped images, likely derived from virtual reality scenes. The dataset is published on Kaggle, but its author, size, and creation date are unknown. Its title suggests the images are cropped based on bounding box annotations, possibly for training or evaluating YOLO-based object detection models in VR contexts.
YOLOv11xxX 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 regarding its size, contents, and creation are not provided in the available metadata.
HAGRID-YOLO-DET1-2 is a dataset hosted on Kaggle. Its title suggests a focus on object detection, likely using the YOLO (You Only Look Once) framework. The dataset's specific content, size, and creation details are not provided in the available metadata.
A dataset for object detection, likely containing images of barbells. It is formatted for use with the YOLO (You Only Look Once) object detection framework. The dataset is hosted on Kaggle, but details on its size, creator, and creation date are not provided.