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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,357 datasets
Keypoint-30-Signer is a dataset hosted on Kaggle. The title suggests it contains keypoint data, likely for sign language recognition or gesture analysis. The dataset's specific scale, origin, and creation date are not detailed in the available metadata.
YOLO-Final-Best is a dataset published on Kaggle. The title suggests it is likely related to object detection tasks for computer vision. Specific details regarding its contents, size, and creation are not provided in the available metadata.
rustensai's Russian Handwriting Ocr dataset contains 13,050 images of handwritten Russian texts paired with transcriptions. The dataset is split into 11,745 training and 1,305 validation samples, derived from 575 unique texts. It was last updated on the Hugging Face platform in January 2026.
RefAV is a scenario mining dataset built on Argoverse 2, containing language prompts paired with corresponding 3D bounding boxes. The dataset is used for the 2026 Argoverse 2 Scenario Mining Challenge and contains between 10,000 and 100,000 records. It was uploaded by CainanD to Hugging Face on February 17, 2026.
A 150-billion-token sample from the Dolma 3 dataset pool, created by AllenAI and last updated in January 2026. It is a mixture of text from web pages, academic documents, code repositories, and scientific papers. The full dataset pool includes sources like Common Crawl, arXiv, and Stack-Edu.
YoloData is a dataset published on Kaggle. The title suggests it is intended for training or benchmarking YOLO (You Only Look Once) object detection models. The dataset's specific content, size, and origin are not detailed in the provided metadata.
A dataset of skin cancer images published on Kaggle. The platform tags suggest it is likely intended for computer vision applications in dermatology. Specific details such as the number of images, collection method, and time range are not provided in the available metadata.
Kaggle hosts a dataset titled 'train_frcnn', likely containing image data for training object detection models. The dataset's specific content, scale, and origin are not detailed in the provided metadata. Its utility for machine learning tasks must be verified after download.
A model checkpoint for the StarGAN generative adversarial network, likely containing trained weights for image-to-image translation. The dataset is hosted on Kaggle and appears to be related to image synthesis tasks. The specific source, training data, and creation date are unknown.
A dataset published on Kaggle, indicated by platform tags to be for computer vision and convolutional neural networks (CNN). The data appears to have been preprocessed for immediate use in model training. Specific details on volume, origin, and creation date are unavailable from the provided metadata.
Rhenium-osmium abundance and isotope measurements were collected from the approximately 2000-meter-thick Cretaceous stratigraphic section at Nakatengu Creek, Japan. The data, funded by an NSF-NERC award, was sampled in August 2021 from organic-bearing siltstone, siliceous mudstone, sandstone, and tuff horizons.
Experimental and observational data on plagioclase crystals from Mount St Helens volcano. The dataset includes textural measurements and major and trace element geochemistry for both synthesized and natural phenocrysts. It was contributed by the British Geological Survey.
UTS Yolo Piki is a dataset published on Kaggle. The title suggests it is likely intended for object detection tasks, possibly using the YOLO (You Only Look Once) framework. Specific details regarding its size, contents, and creation are unavailable from the provided metadata.
A dataset titled 'yolo-pyu' published on Kaggle. The title suggests a focus on object detection, likely using the YOLO (You Only Look Once) framework. The dataset's specific content, scale, and origin are unknown from the provided metadata.
Kaggle hosts a dataset titled 'yolo-checkpoint-epoch44'. The dataset likely contains saved model weights from a YOLO (You Only Look Once) object detection model, specifically from training epoch 44. The author, organization, and specific data content are not provided in the metadata.
Intelligent Aerial Vision System for Sahel is an aerial image dataset intended for fine-tuning models. The dataset focuses on the southern Sahel region. Its specific size, source, and update history are not provided in the available metadata.
vggsfm-still3-renders is a dataset hosted on Kaggle. The title suggests it contains rendered images, likely for computer vision tasks such as 3D reconstruction or view synthesis. No further metadata on size, creator, or update date is available.
A dataset named 'ste-gann' published on Kaggle. The title suggests a focus on Generative Adversarial Networks (GANs), a class of machine learning frameworks used for image generation and synthesis. The dataset's specific content, size, and origin are not detailed in the provided metadata.
kitti-vkitti2-yolo-lab is a dataset hosted on Kaggle. The title suggests it contains object detection labels, likely in YOLO format, derived from the KITTI and Virtual KITTI 2 (vKITTI2) benchmarks for autonomous driving research. The dataset's specific content, size, and creation details are not provided in the available metadata.
ImageNet-100.zip is a dataset hosted on Kaggle. The title suggests it is a subset of the larger ImageNet dataset, likely containing 100 classes of images for visual recognition tasks. The dataset's specific contents, such as the number of images, file formats, and licensing details, are not provided in the available metadata.