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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,567 datasets
A computer vision dataset from Kaggle, likely containing images of printed circuit boards (PCBs) with annotations formatted for the YOLO object detection model. The dataset's version name 'v5i' suggests it may be the fifth iteration of a series. The author, organization, and specific scale of the data are unknown.
YOLO26-172 is a dataset published on Kaggle. The dataset's title suggests it is likely related to object detection, potentially for training or benchmarking YOLO (You Only Look Once) models. No further metadata on size, source, or content is available.
YOLOv11 is a dataset hosted on Kaggle. The dataset's content is inferred from its title to be related to the YOLO (You Only Look Once) family of object detection models. Specific details such as size, format, and creator are not provided in the available metadata.
VGGFace is a pre-trained model for face recognition tasks, hosted on the Kaggle platform. The dataset's specific content, size, and structure are not detailed in the available metadata. Its author, organization, and last update date are unknown.
OCR_raw is a dataset from Kaggle, likely containing source images and the raw text output from an optical character recognition process. The dataset's author, organization, and specific scale are unknown. Its contents and structure require verification after download.
A dataset likely associated with the YOLOv11m object detection model, published on Kaggle. The dataset's specific content, such as training images or annotations, requires verification after download. Details on the author, size, and temporal coverage are not provided in the metadata.
YOLO11MODEL is a dataset published on Kaggle. The title suggests it contains model weights or related files for the YOLOv11 object detection architecture. The dataset's specific contents, scale, and authorship require verification after download.
Yolo 1 is a dataset hosted on Kaggle. Its title suggests it relates to the YOLO (You Only Look Once) object detection algorithm. Metadata is minimal; actual content requires verification after download.
Kaggle hosts this dataset titled 'trocrdatasets'. The dataset likely contains data related to pre-trained models, as indicated by its platform tags. Metadata is minimal; actual content requires verification after download.
ResNet18 is a widely used convolutional neural network architecture for image classification tasks. The dataset likely contains the model weights or parameters for this network, enabling transfer learning or fine-tuning. It was published on Kaggle, a platform for sharing datasets and machine learning models.
Kaggle hosts a pre-trained model file named GAF3scenefearture&vgg.pth. The title suggests it likely contains features extracted from scene images using a VGG architecture. The author, organization, and specific training data details are unknown.
Pemandangan, meaning 'landscape' or 'scenery' in Indonesian, is an image dataset hosted on Kaggle. The dataset's specific content, size, and origin are not detailed in the provided metadata. Its title suggests it likely contains visual data of natural or urban landscapes.
BestYOLOv8 is a dataset hosted on Kaggle. The dataset's content and scale are not described in the provided metadata. Its specific purpose and characteristics require verification after download.
A dataset published on Kaggle, likely containing images and annotations for training YOLOv8 object detection models. The 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.
Kaggle hosts a dataset titled 'yolo-dataset'. The dataset likely contains images intended for training or evaluating YOLO (You Only Look Once) object detection models. Its specific content, size, and provenance are unknown from the provided metadata.
YOLOv9best is a dataset published on Kaggle. The dataset's title suggests a focus on object detection, likely for training or benchmarking the YOLOv9 model. Metadata is minimal; the actual content, scale, and source require verification after download.
YOLOv88 likely contains images annotated for object detection tasks. The dataset is hosted on Kaggle, a popular platform for machine learning datasets. Its specific content and scale require verification after download.
A dataset likely related to the YOLOv8 object detection model, published on Kaggle. The specific contents, scale, and creation details are unknown from the provided metadata. Users must inspect the dataset after download to confirm its exact nature and utility.
A dataset containing the YOLOv8 pre-trained model for object detection, published on Kaggle. The model's architecture and training data are not detailed in the provided metadata. The specific version, training dataset, and performance metrics require verification after download.
NCKHVGGFACE is a dataset published on Kaggle. Its title suggests a focus on face detection or recognition for computer vision applications. The dataset's specific content, scale, and origin require verification after download due to minimal provided metadata.