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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,396 datasets
American Sign Language Keypoints Dataset likely contains annotated images or video frames for gesture recognition. The dataset is hosted on Kaggle, but its size, creator, and update date are unknown. Columns likely suggest pose or landmark coordinates extracted from sign language gestures.
EfficientNetB5 and ConvNeXtBase are modern convolutional neural network architectures designed for image classification tasks. This Kaggle dataset likely contains the pretrained weights for these models, enabling transfer learning. The specific source, training data, and performance metrics are unknown from the provided metadata.
ECGID_Fi_Resampled_Bandpass_Norm_NPY_CWT_CLEAN_GAN is a dataset of processed electrocardiogram (ECG) signals. The title suggests the data has undergone resampling, bandpass filtering, normalization, and conversion to image-like formats via Continuous Wavelet Transform (CWT), and may involve GAN-based processing. It is hosted on the Kaggle platform.
yolo_lifeline is a dataset for computer vision tasks, published on Kaggle. The dataset's specific content, size, and origin are not detailed in the available metadata. Its title suggests it is likely intended for training or benchmarking object detection models using the YOLO framework.
A dataset titled 'augandbal' hosted on Kaggle. The dataset's content likely relates to image augmentation and balancing techniques, common in computer vision preprocessing. No further metadata on author, size, or creation date is provided.
A dataset of precomputed features for 52,000 images, likely derived from the MS COCO (Common Objects in Context) dataset. The title suggests features were extracted using YOLO and Xception neural network architectures. It is hosted on the Kaggle platform.
pretrained_resnet_CSAP_Unet is a dataset hosted on Kaggle. Its title suggests it contains a pretrained neural network model, likely combining ResNet and U-Net architectures for a computer vision task. The specific application, data format, and origin details are not provided in the available metadata.
YOLO Preprocessed Data is a dataset hosted on Kaggle. The dataset's title suggests it contains data formatted for training or evaluating YOLO (You Only Look Once) object detection models. Specific details on volume, source, and creation date are unavailable from the provided metadata.
dhbk_hb_model cnn gei 180 v24.5 is a dataset of model weights for a Convolutional Neural Network (CNN) published on Kaggle. The title suggests it is likely version 24.5 of a model trained on a dataset of 180 classes or epochs. Specific details regarding the source data, author, and creation date are not provided in the available metadata.
A dataset for face recognition tasks, published on Kaggle. The dataset's specific content, size, and creation details are not provided in the metadata. Users must download the dataset to verify its exact composition and suitability for their projects.
Hand_Gesture_Recoganition is a dataset published on Kaggle, likely containing images for training computer vision models. The dataset's author, size, and specific content are not detailed in the provided metadata. Its intended application appears to be in the domain of visual gesture classification.
dhbk_hb_emb cnn gei 180 v24.5 is a dataset of image embeddings likely generated by a Convolutional Neural Network (CNN). The dataset's specific content, size, and origin are not detailed in the provided metadata. It is hosted on the Kaggle platform.
ECGID_SEGMENT_NPY_CWT_GAN is a dataset hosted on Kaggle. The title suggests it contains processed segments of electrocardiogram (ECG) signals, likely stored as NumPy arrays and transformed using Continuous Wavelet Transform (CWT) or Generative Adversarial Network (GAN) techniques. No further metadata is available.
ECG_ID_CLEAN_RANDOM_SEGMENT_NPY_CWT_GAN is a dataset published on Kaggle. The title suggests it contains processed segments of electrocardiogram (ECG) signals, likely transformed using Continuous Wavelet Transform (CWT) and possibly generated or augmented by a Generative Adversarial Network (GAN). The dataset's specific content, size, and origin are unknown.
Wheat Yoddha YOLO Phase 3 Dataset likely contains annotated images for object detection tasks in agriculture. Published on Kaggle, its specific content and scale require verification after download.
This dataset supports research on polarization, political turnover, and democratic foreign policy stability. It includes data files and an R script for replication. The specific number of rows, columns, and data structure are not provided.
Gastrovision is a dataset of medical images focused on the gastrointestinal tract, sourced from the Kaggle platform. The dataset's specific content, scale, and creation details require verification after download. Its title suggests it is intended for computer vision applications in the medical domain.
YOLO_DATASETS is a collection of image datasets hosted on Kaggle, likely intended for training and evaluating object detection models. The datasets are associated with the YOLO (You Only Look Once) family of real-time object detection algorithms. Specific details on the number of images, annotation types, and original sources are not provided in the available metadata.
Pemandangan2 is a dataset of images published on Kaggle. The platform tags suggest it contains landscape and scenery imagery likely intended for computer vision applications. The dataset's specific size, origin, and update history are unknown.
A dataset likely containing images processed for the YOLO object detection framework. The specific number of images, source, and creation date are unknown. It is hosted on Kaggle and tagged for computer vision tasks.