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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,431 datasets
YOLO11m-v2-pcb likely contains images of printed circuit boards intended for training object detection models. The dataset is published on Kaggle, but its specific size, creation date, and authorship are unknown. Its name suggests it is a version two release of a dataset designed for use with the YOLO object detection framework.
YoloGymFeatures is a dataset published on Kaggle. Its title suggests it contains features or annotations related to object detection, likely using the YOLO (You Only Look Once) framework. The dataset's content, scale, authorship, and update history are unknown.
Kaggle hosts a dataset titled 'malware-classification-resnet50'. The title suggests it likely contains image-based representations of malware for classification tasks. The dataset is associated with a pre-trained ResNet50 model, indicating a focus on computer vision applications.
A dataset titled 'yolo_hand_detection_v2' is hosted on Kaggle. The dataset likely contains images annotated for hand detection, intended for training or evaluating YOLO-based object detection models. Its specific contents, scale, and authorship are unknown from the provided metadata.
DHBK HB Model CNN GEI 240 v24.6 is a pre-trained computer vision model hosted on Kaggle. The title suggests it likely contains a convolutional neural network (CNN) architecture. Its specific purpose and training data require verification after download.
The dataset likely contains image data for computer vision applications, as indicated by its title and platform tags. Published on Kaggle, its specific content, size, and creation details are unknown. Columns suggest it may involve embeddings or features generated by a CNN (Convolutional Neural Network) model.
YOLOv8s-C2F-EMA likely contains image data for training or evaluating a specific YOLOv8 model variant. The dataset is hosted on Kaggle, but its exact contents, size, and authorship are unknown. Columns suggest it may include image annotations or model outputs.
Yolov8n P2 Detection likely contains images annotated for object detection tasks. The dataset is hosted on Kaggle, but its specific content, size, and authorship are unknown. Columns suggest it may include bounding box coordinates and class labels.
A dataset titled 'vggf2_teacher_Mukul' is available on Kaggle. The title suggests a connection to education or a teacher named Mukul. The dataset's specific content, size, and origin are unknown.
The dataset title references YOLO8s, CMRF, IRMB, and CBAM, suggesting it relates to computer vision models and attention mechanisms. Published on Kaggle, its specific content and scale are unknown. The author and organization are not listed.
A collection of medical images focused on the gastrointestinal tract. The dataset likely contains visual data for computer vision tasks. Published on Kaggle.
Images of cable defects likely annotated for object detection. The dataset is hosted on Kaggle and appears to be prepared for training a YOLO11 model. The title suggests the data may be oriented automatically for machine vision tasks.
YoloKD-Public is a dataset for object detection tasks, likely containing annotated images. It is hosted on Kaggle, but detailed metadata such as author, size, and license are unknown. The dataset's content and structure require verification after download.
Kaggle hosts a dataset titled 'cable defects original auto orient 800 yolo11'. The title suggests it contains images of cable defects annotated for object detection using the YOLO11 model. The dataset likely contains 800 images oriented for automated defect detection.
Kaggle hosts this dataset titled LAMBDA_VGGish_audio. The dataset likely contains audio features extracted using the VGGish model, a convolutional neural network designed for audio analysis. Its specific content, size, and provenance require verification after download.
FracAtlas YOLO V2 is a dataset hosted on Kaggle for computer vision tasks. The dataset likely contains images annotated for object detection using the YOLO V2 model architecture. Its specific content, scale, and authorship require verification after download.
PCB_Merged_Balanced_YOLO is a dataset published on Kaggle. The title suggests it contains images of printed circuit boards, likely annotated for object detection tasks using the YOLO framework. The dataset's specific scale, creator, and update date are unknown.
GRAZ_YOLO_BALANCED V2 is a dataset likely for training object detection models. The dataset is hosted on Kaggle, but its specific content, size, and creation details are unknown. Its title suggests it may be a balanced version of an earlier dataset.
A dataset published on Kaggle. The title suggests it contains images annotated for object detection using the YOLO (You Only Look Once) framework. The 'PediaSHF' prefix likely indicates a focus on pediatric subjects or contexts.
MSDD-grayscale-640-yolo11 is a dataset published on Kaggle. The title suggests it contains grayscale images formatted for use with the YOLO object detection model version 11. The dataset's specific content, scale, and origin are unknown.