Loading...
Loading...
Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,453 datasets
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.
YOLOv8n is a dataset likely associated with the YOLOv8n computer vision model. The dataset is hosted on Kaggle, but its specific content, size, and creation details are not provided in the metadata. Columns, sample data, and other descriptive elements are unknown.
Kaggle hosts a dataset named STYLEGAN2_DATASET. The dataset likely contains images intended for training or evaluating the StyleGAN2 generative adversarial network model. Specific details on the number of images, their source, and collection date are not provided in the available metadata.
Dataset_pengangguran1 is a dataset on unemployment, likely containing metrics related to labor market conditions. It is hosted on Kaggle, but the author, organization, and specific data characteristics are not provided. The dataset's content, scale, and recency must be verified after download.
Kaggle hosts the ProGAN dataset, which is likely a collection of images generated using the Progressive Growing of Generative Adversarial Networks technique. The dataset's author, organization, size, and specific content are not detailed in the provided metadata. Its last update date is also unknown.
A dataset titled 'yolol04resusme' is hosted on Kaggle. The title suggests a connection to the YOLO (You Only Look Once) object detection framework, potentially containing annotated images for model training. All other metadata, including size, format, and content specifics, is currently unknown.
OCRBench-Kazakh is a manually collected evaluation benchmark designed to assess Optical Character Recognition and visual-text understanding in the Kazakh language. The dataset tests model capabilities on text ranging from standard digital fonts to complex handwritten scripts and structured charts. It was created by author 'issai' and last updated on December 31, 2025.
A multimodal dataset containing video and audio files, organized into a dedicated 'data' folder. The dataset follows the same license as the original VFHQ dataset, requiring users to verify necessary permissions. It was uploaded by Holasyb918 to Hugging Face and was last updated on 2026-01-27.
Images from the COCO dataset filtered to include only the 'Person' class. The images have been cleaned and resized to facilitate faster model training. The specific number of images, rows, and columns is unknown.
Aggregating information on Pokemon characters from the first nine generations of the franchise, excluding mega evolutions, regional variants, and Gigantamax forms. It is tagged as a tabular dataset covering fictional video game characters.
Research data on the programmable spatial patterning of three-dimensional organoids, associated with a draft publication in the Journal of Applied Synthetic Biology. The dataset's specific row count, column features, and file formats are not detailed in the provided input.
A dataset likely containing medical images for research into cross-modality translation using an Attention-Augmented CycleGAN model. The dataset appears to be associated with a Kaggle project focused on Generative Adversarial Networks and research. Specific details on size, source, and temporal coverage are unavailable.
Labeled image data categorized for helmet detection and rider safety approval systems. It provides bounding box annotations specifically formatted for the YOLO V8 object detection architecture to distinguish between compliant and non-compliant riders.
Notable for labeled images of UNO playing cards specifically curated for object detection tasks within the RF100 benchmark. It provides bounding box annotations for identifying various card types, colors, and symbols found in a standard UNO deck.
Discrete Tone Image Dataset is a collection of images for computer vision research, specifically for color analysis tasks. It is hosted on the UCI Machine Learning Repository and is categorized under Image and Computer Vision platform tags. The specific contents, size, and creation details are not provided in the available metadata.
Subset of the COCO dataset filtered to contain only images with person instances, formatted for training YOLO object detection models. The dataset is tagged for Computer Vision tasks. Specific details on the number of images, annotations, or features are not provided in the input.
68 high-resolution puzzle images are provided for object detection tasks. The dataset is hand-annotated and prepared for use with models like YOLO. The creator and specific creation date are not documented.
25,494 CT scans from Stanford's Merlin dataset have received per-voxel annotations for organs and anatomical structures. The annotations were generated by AI models trained on over 14,000 CT scans at Johns Hopkins University. This dataset results from a collaboration between the Merlin Project at Stanford and the R-Super Project at Johns Hopkins.
VFHQ 25FPS is a dataset containing video and audio data, organized into a 'data' folder. The dataset was uploaded to Hugging Face by Holasyb918 and was last updated on 2026-01-26. It follows the same license as the original VFHQ dataset, and users are advised to ensure they have the necessary permissions to use the underlying VFHQ data.
A dataset named 'Llama Nemotron Vlm Dataset V1 Ocr4' was published on the HuggingFace platform by author Jiwon-Kang. The dataset was last updated on 2026-02-07 22:41:13. Its title suggests it contains data for optical character recognition (OCR) tasks, likely intended for training or evaluating vision-language models.