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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,396 datasets
TRAIN_CNN is a dataset published on Kaggle, likely intended for training Convolutional Neural Networks. The dataset's specific content, size, and origin are not detailed in the available metadata. Its creation date and author are unknown.
A dataset published on Kaggle, likely for training and evaluating object detection models. The title suggests it is a versioned release (v1) with updated annotations (newlabel1last). Specific details on size, source, and creation date are not provided in the metadata.
YOLO26x-newlab is a dataset published on Kaggle, likely for training and evaluating object detection models. The dataset's author, organization, and specific content details are not provided in the metadata. Its size, row count, and last update date are unknown.
A dataset from Kaggle likely containing images and annotations from the PASCAL Visual Object Classes (VOC) challenge, formatted for use with the YOLOv5 object detection model. The specific number of images, annotation details, and temporal coverage are not provided in the metadata. The original PASCAL VOC datasets were foundational benchmarks for computer vision tasks.
Kaggle hosts the 'yolo26x-newlab-light' dataset. The title suggests it is likely a collection of images for training or benchmarking object detection models, potentially using the YOLO architecture. The dataset's specific content, size, and origin are not detailed in the provided metadata.
A dataset from Kaggle titled 'ucsd_detect_track_yolo26x_bytetrack'. The dataset likely contains results from applying the YOLO26x object detection model and the ByteTrack multi-object tracking algorithm. The specific source, temporal coverage, and data volume are not provided in the metadata.
Kaggle hosts this dataset titled 'yolo26x-newlab-v1'. The title suggests it is likely a collection of images for training or benchmarking object detection models, potentially using the YOLO architecture. The dataset's author, organization, and specific contents are not detailed in the provided metadata.
YOLOv26-L-v1-newlabelv1 is a dataset for training and evaluating the YOLO (You Only Look Once) object detection model. The dataset is hosted on Kaggle, but its specific contents, scale, and authorship are not detailed in the provided metadata. Its title suggests it contains images with annotations formatted for the YOLOv26 architecture.
A dataset titled 'SmartPhone Yolo' published on Kaggle. The title suggests it contains images captured from smartphones, likely intended for training or benchmarking object detection models using the YOLO (You Only Look Once) framework. The dataset's specific scale, creator, and update date are unknown from the provided metadata.
YOLO-Seg is a dataset hosted on Kaggle. The title suggests it is likely intended for training or benchmarking object detection and segmentation models, potentially using the YOLO (You Only Look Once) framework. The dataset's specific content, size, and origin require verification after download.
Faster R-CNN is a prominent deep learning architecture for object detection. This dataset, hosted on Kaggle, likely contains model weights, configuration files, or related assets for a Faster R-CNN implementation. The specific contents, such as the training data used or the model's performance, require verification after download.
Kaggle hosts the YOLO-Crops dataset. The title suggests it contains imagery for detecting crops or agricultural objects using the YOLO (You Only Look Once) model framework. Specific details on volume, source, and creation date are unavailable from the provided metadata.
A dataset likely related to the TrOCR model, a transformer-based architecture for optical character recognition. The dataset was published on Kaggle, but specific details about its contents, size, and creation are unavailable. Columns, sample data, and other metadata are unknown.
GenImage is a dataset likely containing images generated by the BigGAN model, a large-scale generative adversarial network. The dataset is hosted on Kaggle, a popular platform for data science competitions and resources. Its specific scale, creation date, and author are not provided in the available metadata.
KLA GAN250 FT5000 A90 is a dataset published on Kaggle. The dataset's title suggests it relates to semiconductor manufacturing, likely containing data from specific equipment or processes. Metadata is minimal; actual content, scale, and authorship require verification after download.
A public dataset of images processed by the RealESRGAN super-resolution algorithm, likely as part of an augmentation pipeline named Augplus250. The dataset is hosted on Kaggle, but its specific contents, scale, and creation details are not described in the provided metadata. Further verification is required to confirm the exact number of images, their source, and the augmentation parameters applied.
EfficientNetV2-B0 weights provide a starting point for computer vision tasks. The dataset is hosted on Kaggle, a platform for data science and machine learning resources. Its specific content and version details require verification after download.
A dataset titled 'KLA GAN125 FT5000 A70' is hosted on Kaggle. The title suggests it relates to semiconductor manufacturing, likely involving equipment or process data from KLA Corporation. No further metadata, such as column descriptions, sample data, or size, is provided.
A convolutional neural network model file, likely containing trained weights for image analysis. The dataset is published on Kaggle under the identifier 'dhbk_hb_model cnn gei 090 v24.16'. Specific details on the training data, architecture, and performance are not provided in the metadata.
CNN embeddings likely generated from an image dataset. The dataset is published on Kaggle under the title 'dhbk_hb_emb cnn gei 090 v24.16'. The author, organization, and specific data characteristics are unknown.