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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,462 datasets
The dataset 'dhbk_hb_emb cnn gei 270 v24.14' is hosted on Kaggle. Its title and platform tags suggest it contains data for computer vision tasks, likely involving Convolutional Neural Network (CNN) embeddings. The specific content, size, and authorship details are not provided in the available metadata.
A dataset from Kaggle's Research category focused on computational docking simulations. The data likely contains results from hybrid quantum-chemical methods used to guide the adaptive docking of macrocyclic ligands into a target. The specific author, organization, and data volume are unknown.
WLASL-126Keypoints-2000 likely contains pose estimation data for sign language gestures. The dataset appears to be derived from the WLASL (World-Level American Sign Language) dataset, focusing on 126 keypoints across 2000 instances. It is hosted on Kaggle, but the author, organization, and specific collection details are unknown.
Global Wheat YOLO11s Best Weights likely contains pre-trained model weights for a YOLO-based object detection system. The dataset is published on Kaggle, but its author, organization, and creation date are unknown. Columns suggest it may include weights files and possibly associated metadata.
PCB Defect Detection Merged Dataset 2026 YOLOv8 v1 is a dataset hosted on Kaggle. Its title suggests it contains images of printed circuit boards annotated for defect detection tasks. The dataset is likely intended for training object detection models, specifically the YOLOv8 architecture.
A pre-trained machine learning model for bird species classification from audio data, likely derived from the BirdCLEF 2026 competition. The model is provided in the ONNX format, which suggests it is optimized for efficient inference across different frameworks. It is hosted on Kaggle under the 'Pre Trained Model' tag.
A dataset published on Kaggle for object detection tasks, likely containing images. The dataset name and platform tags suggest it is designed for use with YOLO (You Only Look Once) models. Specific details on size, creator, and update date are not provided in the metadata.
A dataset from Kaggle containing images of IEC electrical symbols, likely formatted for training YOLO v6 object detection models. The dataset's specific size, creation date, and author are unknown. Its content is inferred from the title and platform tags.
ImageNet-1K-mini is a smaller-scale version of the ImageNet dataset, likely containing a subset of the 1,000 object categories used for the ImageNet Large Scale Visual Recognition Challenge. It is hosted on Kaggle, a platform for data science and machine learning competitions. The dataset's specific size, author, and last update date are unknown from the provided metadata.
SAR2RGB_CycleGAN is a pre-trained model for translating between Synthetic Aperture Radar and optical RGB imagery. The dataset likely contains model weights and architecture files for a CycleGAN-based image-to-image translation system. It is published on Kaggle under the 'Pre Trained Model' tag.
A Kaggle dataset likely containing results, code, or documentation for a CycleGAN project. The dataset's specific content, such as generated images, model weights, or training logs, must be verified after download. Its origin and scale are unspecified in the provided metadata.
Hand-marked human face images categorized with bounding box labels in YOLO format. The dataset contains filtered visual data specifically prepared for training and validating facial detection models.
70,000 face recognition images featuring over 6,000 unique individuals with 10-15 photos per subject. The collection includes a mix of user-captured selfies and two official identification document photos per person to facilitate cross-domain matching.
Various categories of art movements and styles are organized in this image classification dataset from WikiArt. The collection provides labeled visual examples for identifying historical artistic periods and stylistic techniques.
Arabic alphabet sign language gestures captured in RGB image format across multiple character classes. This collection facilitates the development of image classification models for Arabic Sign Language (ArSL) recognition.
4 distinct categories of lung cancer images organized for multiclass classification and research. The dataset provides visual representations of different pathological types to support diagnostic modeling in the oncology domain.
Multiple classified images across major driver activity categories. The collection provides visual data for identifying specific driver actions and behavioral patterns.
2,000 high-resolution images of Japanese and Sri Lankan textiles categorized by cultural origin. The collection facilitates cross-cultural comparative analysis and pattern recognition for traditional fabric designs.
4 categories of book cover images including fiction, history, technical, and law are provided for visual classification tasks. The data captures the distinct aesthetic differences between academic, professional, and creative publishing genres through their respective jacket designs.
100 video sequences containing 140,000 frames and 1.21 million manually annotated bounding boxes of vehicles. The dataset covers four vehicle categories—car, bus, van, and others—captured across varying weather, scale, and occlusion levels.