High-Quality Training Datasets

This dataset contains 200,000 sets of images and bilingual captions (Chinese and English) featuring landmark buildings from over 20 countries, including the United States, United Kingdom, France, Germany, and Russia. Each set includes 1–10 images of a specific landmark, captured from different angles, distances, and time periods. The dataset covers approximately 80,000 domestic landmarks and 120,000 international ones. Types of landmarks include commercial buildings, ancient architecture, monuments, libraries, and scenic spots. Annotations include landmark country, city, location, category, and descriptive captions. This high-quality dataset is ideal for training models in landmark recognition, image classification, multilingual image captioning, and image-to-text retrieval.

This 3D high-fidelity synthetic dataset simulates real-world Driver Monitoring System (DMS) environments using photorealistic 3D scene modeling. It includes multi-modal sensor outputs such as camera images, videos, and point clouds, all generated through simulation. The dataset is richly annotated with object classification, detection, and segmentation labels, as well as human pose data (head, eye, arm, and leg position/orientation), camera parameters, and temporal metadata such as illumination and weather conditions. Ideal for training and evaluating models in autonomous driving, robotics, driver monitoring, computer vision, and synthetic perception tasks.

Japanese OKWAVE Q&A platform Text Parsing and Processing Data, Contains question, answer, category, create_datetime, user, etc, The data is continuously updated. As of the end of April 25, there were 8.4 million questions and 2.3 billion words. 27 million answers and 7.6 billion words; Thanks (the gratitude expressed by the questioner to the responder) 15.5 million pieces, 1.7 billion words; Supplementary explanations amount to 2.1 million pieces, totaling 360 million words, this dataset can be used for tasks such as LLM training, chatgpt

Tamil Scripted Monologue Smartphone speech dataset, collected from monologue based on given scripts. Transcribed with text content and other attributes. Our dataset was collected from extensive and diversify speakers geographicly speaking, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

Lao Scripted Monologue Smartphone speech dataset, collected from monologue based on given scripts. Transcribed with text content and other attributes. Our dataset was collected from extensive and diversify speakers geographicly speaking, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

Chinese Multi-emotional Modal particle and Natural Conversation Speech Synthesis Corpus, is recorded by multiple native Chinese voice actors. It not only includes sentences rich in modal particles that align with daily expression habits, but also encompasses free conversation data on given topics. In each conversation, the audio of each speaker is independently stored in their respective tracks. Professional phoneticians have annotated information such as text content, meeting the precise requirements for speech synthesis research and development to a full extent.

2,499,771 Boxes 7,262 Images Human Facial Skin Defects Dataset.The data includes the following seven types of facial skin defects: acne, moles, scars, herpes (sores), speckles, freckles, and others. This data can be used for tasks such as skin defects detection.

Burmese Scripted Monologue Smartphone speech dataset, collected from monologue based on given prompts. Transcribed with text content. Our dataset was collected from extensive and diversify speakers, geographicly speaking, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

Fine-Tuning text data set for English LLM General Domain SFT, a training resource specifically designed for AI model optimization, significantly enhances the model's instruction understanding and execution capabilities, double-checked by linguistic experts and AI engineers, perfectly supports the fine-tuning needs of mainstream pre-trained models.

This dataset features 30 million high-resolution video clips sourced from authorized and legally compliant channels. Each video offers exceptional clarity, color accuracy, and scene diversity across various environments and themes. All clips include clearly documented copyright ownership and commercial usage rights, making them safe and reliable for both academic research and business applications. The dataset is ideal for computer vision tasks such as video classification, action recognition, multimodal learning, object tracking, and content generation. Whether you're training deep learning models or sourcing clean, scalable visual data, this video dataset offers a comprehensive, large-scale solution.

This dataset contains 80 million high-quality vector images (SVG, EPS, AI formats), offering a vast collection for use in computer vision, machine learning, and creative applications. Each image is copyright-cleared and legally sourced through authorized channels, with transparent usage rights for both commercial and academic purposes. The dataset features a wide variety of vector content—icons, illustrations, infographics, and more—with excellent color fidelity and scalable resolution. Ideal for AI model training (e.g., image classification, object recognition), generative design models, and creative design inspiration, this resource ensures traceable IP rights and enables safe, large-scale usage in real-world environments.

This image database contains 200 million high-quality images that have undergone professional review. The resources are diverse in type, featuring high resolution and clarity, excellent color accuracy, and rich detail. All materials have been legally obtained through authorized channels, with clear indications of copyright ownership and usage authorization scope. The entire collection provides commercial-grade usage rights and has been granted permission for scientific research use, ensuring clear and traceable intellectual property attribution. The vast and high-quality image resources offer robust support for a wide range of applications, including research in the field of computer vision, training of image recognition algorithms, and sourcing materials for creative design, thereby facilitating efficient progress in related areas.