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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,403 datasets
OCRData is a dataset hosted on Kaggle. The title suggests it contains materials for Optical Character Recognition tasks, likely pairing images with text. The author, organization, and specific details such as size and license are currently unknown.
A dataset likely containing the weights for the YOLOv11m object detection model, published on Kaggle. The specific architecture, training data, and performance metrics are not detailed in the provided metadata. The author, organization, and last update date are unknown.
A YOLOv11m model release, likely containing weights and configuration files for object detection tasks. Published on Kaggle, a platform for data science and machine learning projects. The dataset's specific contents, such as training data or validation sets, require verification after download.
YOLOMM is a dataset published on Kaggle. The dataset's specific content, size, and origin are not detailed in the provided metadata. Its title suggests it is likely related to object detection tasks using the YOLO (You Only Look Once) framework.
A dataset likely containing images for training and evaluating YOLO (You Only Look Once) object detection models. The dataset is hosted on Kaggle, but its specific contents, size, and origin are not detailed in the provided metadata. Further verification is required to confirm the number of images, annotation types, and licensing.
IRTSDD is an infrared imaging dataset annotated for YOLO object detection tasks. It was sourced from IEEE DataPort, though the specific number of images and annotation details are not provided. The original author and creation date are unknown.
WildSci won second prize in the Reasoning Datasets Competition organized by Bespoke Labs, HuggingFace, and Together.AI. This dataset provides diverse, domain-rich science texts from 'in-the-wild' literature to advance scientific reasoning tasks for large language models. It was created by JustinTX and last updated in January 2026.
BirdCLEF-2026-efficientnet-weights is a Kaggle dataset providing pre-trained model weights. The weights are likely derived from audio data used in the BirdCLEF competition, which focuses on bird species identification from sound recordings. The dataset's specific content and scale require verification after download.
dhbk_hb_model cnn gei 030 v24.8 is a dataset published on Kaggle. Its title suggests it likely contains weights or parameters for a convolutional neural network (CNN) model. The specific architecture, training data, and performance metrics are unknown from the provided metadata.
A dataset for practicing image classification tasks, hosted on Kaggle. The title suggests it is likely a collection of images intended for educational or skill-building purposes. The dataset's specific content, scale, and origin require verification after download.
Tamil-ABGAnionGap-1522 likely contains clinical laboratory data related to anion gap calculations. The dataset is hosted on Kaggle, but its specific source, size, and creation date are unknown. Columns suggest it may include patient measurements or diagnostic values.
09.04-ResnetSE-voxceleb likely contains outputs from a ResNet-SE model trained on the VoxCeleb speaker recognition dataset. The dataset name suggests it is related to audio processing and speaker verification tasks. Published on Kaggle, its specific contents and scale require verification after download.
Kaggle hosts a dataset of food images. The dataset likely contains photographs of various food items, intended for machine learning tasks. Specific details on the number of images, source, and creation date are unavailable.
The dataset title 'tp4_monet_cyclegan' suggests a collection of images for training and evaluating CycleGAN models, likely for translating between two visual domains such as photographs and paintings. It is hosted on Kaggle, a platform for data science competitions and datasets. Specific details on the number of images, their source, and the creator are not provided in the available metadata.
Kaggle hosts this dataset titled 'yolov12n_output_sar'. The dataset likely contains the output of a YOLOv12n model applied to Synthetic Aperture Radar (SAR) imagery, suggesting results from an object detection task. Its specific contents, size, and creation details are not provided in the available metadata.
OSDaR23 YOLO Dataset is a computer vision dataset published on Kaggle. The title suggests it is intended for object detection tasks, likely using the YOLO (You Only Look Once) model architecture. The dataset's specific contents, size, and origin are not detailed in the provided metadata.
YOLO-dataset is a computer vision dataset published on Kaggle. The title suggests it contains images intended for training or benchmarking YOLO (You Only Look Once) object detection models. Metadata is minimal; actual content requires verification after download.
A collection of image data generated using the CARLA autonomous driving simulator for training convolutional neural networks. The dataset is sourced from Kaggle, a platform for data science competitions and datasets. Specific details on the number of images, time of creation, and original author are not provided in the input metadata.
Annual summary of calendar year Medicare Part B carrier and durable medical equipment fee-for-service claims. The data is organized by carrier, pricing locality, HCPCS code, modifier, provider specialty, type of service, and place of service. Summarized fields include total submitted, allowed, denied, and paid service counts and charges.
MSCOCO is a large-scale image dataset for object detection, segmentation, and captioning created by Microsoft. It contains over 330,000 images with more than 2.5 million labeled object instances across 80 everyday object categories. The dataset was first released in 2014 and has been a benchmark for computer vision research.