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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,524 datasets
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.
A dataset likely containing images annotated for object detection, formatted for use with the YOLOv11 model architecture. It was published on the Kaggle platform. The specific subject matter, scale, and creation details are not provided in the available metadata.
Yolov8n_0_100_v1 is a dataset published on Kaggle, likely containing images for training or evaluating the YOLOv8n object detection model. The specific number of images, annotation format, and source are not detailed in the available metadata. Its creation date, author, and original collection method are also unknown.
YOLOv11 is a dataset likely associated with the YOLO (You Only Look Once) family of real-time object detection models. It is hosted on Kaggle, a popular platform for data science competitions and datasets. The dataset's specific content, size, and origin are not detailed in the provided metadata.
A dataset likely containing images annotated for object detection, associated with the YOLOv10 model. The dataset is published on Kaggle, but its creator, size, and specific content are not detailed in the provided metadata. The title suggests it may be a subset or a specific version of data used for training or evaluating the YOLOv10n architecture.
Yolov11s_0_125_250_v1 is a dataset published on Kaggle. The title suggests it is likely related to object detection, potentially containing images and annotations for training or benchmarking YOLO-based models. The dataset's specific content, size, and origin require verification after download.
2,808 human-annotated samples across 13 diverse tasks, including table parsing, chart understanding, and visual question answering. ThaiOCRBench is a benchmark for evaluating vision-language models on Thai text-rich visual understanding tasks, created by typhoon-ai and last updated in December 2025.
9 distinct classes of noisy images organized for classification tasks. The collection provides visual data specifically curated to include noise artifacts across all categories.
13,143 face images annotated with 73 distinct facial attributes and identity labels across 5,749 unique individuals. The data provides continuous values for traits such as 'Middle Aged', 'Male', and 'Smiling' to support semantic face recognition.
745 gold-standard instruction-response pairs focused on precision diabetology and clinical management of diabetes. These samples provide high-quality supervised fine-tuning (SFT) data for training language models on specialized medical queries.