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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,394 datasets
Transparent PNG cutouts of jaguars were generated from the ImageNet dataset using the Segment Anything Model 3 (SAM3). The dataset consists of isolated jaguar subjects, likely intended for training or evaluating segmentation models. The original source is ImageNet, processed with a modern segmentation tool.
Keypoints is a dataset published on Kaggle. The title suggests it contains images with annotated keypoints, likely for tasks like human pose estimation or object landmark detection. Specific details on size, source, and annotation methodology are unavailable from the provided metadata.
A dataset titled 'parcel_yolo' is hosted on Kaggle. The title suggests it contains images annotated for use with the YOLO (You Only Look Once) object detection framework. No further metadata on size, source, or specific content is available.
A model trained for 20 epochs on a custom collection of five datasets, published on Kaggle. The dataset likely contains images and annotations for training or evaluating a Multi-Task Cascaded Convolutional Neural Network (MTCNN), a common architecture for face detection. Specific details on data volume, source, and creation date are not provided in the available metadata.
Temporal_ResNet1D is a dataset hosted on Kaggle. Its title suggests it contains one-dimensional temporal data formatted for use with ResNet architectures. The dataset's specific content, size, and origin are not detailed in the provided metadata.
A sample of restaurant market data from BeamStation, focusing on TikTok marketing activity. The dataset covers restaurants located in Michigan. It is provided as a free sample from the BeamStation platform.
YOLO88X is a dataset published on Kaggle. The title suggests it is likely intended for training or benchmarking object detection models using the YOLO framework. No further details on size, source, or content are available from the provided metadata.
YOLOv10m is a model for object detection, likely based on the YOLO (You Only Look Once) architecture. It is hosted on Kaggle, a platform for data science and machine learning projects. The specific version 'm' suggests it may be a medium-sized variant within a model family.
The dataset contains calculations for certified current freely available revenue (ICLD) and legal spending limits for Colombian public corporations and control bodies, as mandated by Law 617 of 2000. It includes columns for total revenue, operating expenses, calculated legal limits, and spending commitments across departments, municipalities, assemblies, councils, and oversight bodies. The data is provided by www.datos.gov.co and was last updated on 2025-12-19.
A dataset for photovoltaic fault detection, likely containing annotated images of solar panels. It is hosted on Kaggle, a platform for data science competitions and datasets. The dataset's author, organization, and specific details are unknown.
A dataset titled 'dhbk_hb_model cnn gei 015 v24.8' published on Kaggle. The title suggests it likely contains data related to a convolutional neural network (CNN) model. Specific details about the data's content, size, and origin are unavailable.
YOLOv11m weights are likely a set of pre-trained parameters for the YOLO (You Only Look Once) object detection model. The dataset is hosted on Kaggle, a platform for sharing data and machine learning resources. The specific architecture version, training data, and performance metrics are not detailed in the provided metadata.
yolov11m_finetuned is a dataset published on Kaggle. The title suggests it relates to a finetuned YOLOv11m model, likely containing outputs or training data for object detection tasks. Metadata is minimal; the actual content, scale, and structure require verification after download.
A dataset published on Kaggle. The title suggests it may be related to convolutional neural networks (CNN) and image processing. Its specific content, size, and origin are unknown.
A 2025 benchmark dataset of 192,000 real-world images captured in a controlled testbed under varied sensor and lighting conditions. It was introduced in the ICLR 2025 paper 'Adaptive Camera Sensor for Vision Models' by author edw2n. The dataset is designed to complement the original ImageNet-ES with more diverse covariate shifts.
A dataset of images annotated for YOLOv8, designed for real-time detection of Arabic Sign Language (ArSL) sentences and words. The dataset's size, creator, and creation date are not specified in the provided information.
YOLOv8 dataset for real-time Arabic Sign Language (ArSL) sentences and words. The dataset is designed for real-time translation applications. The author and specific creation details are not provided.
YOLOv8 dataset designed for real-time detection of Arabic Sign Language (ArSL) numbers. The dataset is intended for training models to recognize numerical gestures used in ArSL. No information is available on its size, creator, or date of publication.
A dataset for training deep learning models to classify microorganisms. The dataset is hosted on Kaggle, but its size, specific content, and creation details are not provided in the metadata. Metadata is minimal; actual content requires verification after download.
A collection of pre-trained model weights for the EfficientNet architecture, published on Kaggle. The dataset likely contains the parameters for a model trained on a large-scale image dataset, intended to serve as a baseline for transfer learning. Specific details on the training data, author, and update history are not provided in the metadata.