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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,398 datasets
A dataset of yoga poses annotated with 16 keypoints, likely for human pose estimation tasks. The dataset is hosted on Kaggle and appears to be related to computer vision applications. The title suggests a focus on the year 2026, though the specific temporal context is unclear.
30,000 randomly sampled image-caption pairs from the COCO 2014 validation split. The dataset was created by dylanlim78 and is intended for use in image generation benchmarks. It was last updated on the platform in February 2026.
Licenses authorize the import, export, production, and distribution of medicinal cannabis derivatives in Colombia. The INVIMA grants these authorizations under Decree Law 2106 of 2019. Data is provided by datos.gov.co and was last updated in December 2025.
A YOLOv5 model file published on Kaggle. The dataset likely contains pre-trained weights for the YOLOv5 object detection architecture. Its specific version, training data, and performance metrics are not detailed in the provided metadata.
NEWVOCRH is a dataset published on Kaggle. Its title suggests a focus on vocabulary or object categories, likely for computer vision tasks. The dataset's specific content, size, and origin are not detailed in the provided metadata.
A dataset likely containing pre-computed visual features for the Flickr30K image collection. The title suggests features were extracted using YOLO and Xception models, possibly for the Scene Classification 2 (SC2) task. It is hosted on Kaggle, but specific details on the number of samples, feature dimensions, and creation date are unavailable.
Kaggle hosts a dataset of animal images captured from multiple angles. The dataset likely contains images for training and evaluating computer vision models. Specific details on volume, source, and creation date are not provided in the metadata.
YOLO_processed_59 is a dataset published on Kaggle, likely containing images processed for object detection tasks using the YOLO (You Only Look Once) framework. The dataset's specific content, scale, and origin are not detailed in the available metadata. Further verification is required to confirm the exact number of images, annotation details, and the data collection methodology.
dhbk_hb_model cnn gei 015 v24.7 is a dataset published on Kaggle. The title suggests it contains a Convolutional Neural Network (CNN) model, likely for image-related tasks. The version number v24.7 indicates it is part of an iterative development or release series.
CNN-generated embeddings likely represent image features for machine learning tasks. The dataset is hosted on Kaggle, but its specific source, size, and creation date are not provided in the metadata. Its title suggests it contains feature vectors produced by a convolutional neural network.
EfficientNet-B0 weights are a set of pre-trained parameters for a convolutional neural network architecture. The dataset likely contains the model weights, enabling transfer learning for image classification tasks. It is published on Kaggle, but the original author, organization, and specific details are unknown.
EfficientNetV2-B0 model weights published on Kaggle. The dataset likely contains the pre-trained parameters for the EfficientNetV2-B0 architecture, a convolutional neural network designed for image classification tasks. The specific source, training data, and version details are not provided in the metadata.
Rice Leaf Disease detection using CNN is a dataset hosted on Kaggle. The dataset likely contains images of rice leaves for training computer vision models to identify diseases. The specific number of images, collection method, and authorship details are not provided in the available metadata.
OCR_finetune_dataset is a collection for training and fine-tuning Optical Character Recognition models. The dataset is hosted on Kaggle, but its specific contents, scale, and origin are not detailed in the provided metadata. Users must download the dataset to verify its structure, quality, and suitability for their specific OCR tasks.
A dataset published on huggingface by author wang-jie825, last updated on 2026-02-26. The title and platform tags suggest it contains computer vision and multimodal data structured in JSON. The specific content, scale, and collection method require verification after download.
A dataset titled 'Kurgan_dataset' hosted on Kaggle. The title suggests it may contain images for computer vision tasks. No further metadata is available.
ResNet50 is a deep convolutional neural network architecture with 50 layers. This dataset likely contains the weights for a ResNet50 model pretrained on a large image dataset, made available via the 'timm' (PyTorch Image Models) library on Kaggle. The specific source dataset, training parameters, and performance metrics are not detailed in the provided metadata.
YOLO_model is a dataset published on Kaggle, likely for training or benchmarking object detection models. The dataset's specific content, size, and origin are not detailed in the provided metadata. Users must download the dataset to verify its exact composition and suitability for their tasks.
IDRiD is a collection of retinal images for diabetic retinopathy analysis, sourced from Kaggle. The dataset likely contains fundus images with annotations for lesions and disease grading. Its specific scale, origin, and update timeline are not detailed in the provided metadata.
Duo_dataset_ver_yolo is a computer vision dataset published on Kaggle. The title suggests it is formatted for training or evaluating YOLO (You Only Look Once) object detection models. Metadata is minimal; the actual content, scale, and origin require verification after download.