Pre-labeled Datasets
Accurate, expert-annotated data for AI training.
DATASETS
Seamlessly integrate high-quality data into your systems with our datasets.
AI Data for Object Detection and Model Training
Diverse Objects
Wide-ranging real-world data for robust AI models.
Easy Integration
Supports JSON, XML, CSV, COCO, VOC, YOLO formats.
Scalable Solutions
Adapts to small projects and large AI deployments.
We deliver high-quality object recognition data with precision
We assess your project needs, ensuring our datasets align with your AI training goals for optimal performance.
TagX provides high-quality image, video, text, and tabular data from diverse sources, tailored for AI applications across industries.
We use AI-powered and manual annotation techniques—bounding boxes, segmentation, and key points—to ensure accuracy, refining data for precise AI training.
Our multi-layer quality control eliminates errors, minimizes bias, and enhances annotation accuracy, ensuring dataset reliability and AI model efficiency.
We deliver optimized datasets in various formats, offering seamless integration and post-delivery support for AI model training and troubleshooting.
Industries We Serve
Autonomous Vehicles
AI-driven vehicles require robust object detection for navigation and safety.
Retail & Ecommerce
Enhancing product recognition, inventory analysis, and automated tagging with AI-powered datasets.
Facial recognition
High-precision AI datasets for identity verification, authentication, and security applications.
Defect detection & inspection
AI-driven quality inspection for manufacturing, construction, and product assembly to reduce errors.
Security & Surveillance
Facial recognition, crowd analysis, and threat detection using object identification AI.
Agriculture
AI-powered crop monitoring and pest detection using specialized datasets.
Manufacturing
Improve defect detection and process automation using labeled production line data.
Why choose us
Why Choose TagX for Object Detection?
- Expert-annotated datasets ensure high accuracy and precision for AI models.
- Real-world data sourced from multiple industries for better AI training.
- Supports COCO, PASCAL VOC, YOLO, and more, with scalable datasets.
- Compliant with industry standards and data privacy regulations for secure AI development.
Object detection finds and marks objects in an image or video. For example, self-driving cars use it to detect pedestrians and traffic signs.
Datasets are labeled using techniques like bounding boxes, polygons, and segmentation to mark object locations for AI training.
It improves model accuracy, reduces errors, and ensures reliable AI performance.
Labeled images, annotated datasets, and video feeds covering various objects, lighting, and environments.
We provide diverse, well-annotated datasets that enhance training and reduce false detections.
Yes, we provide industry-specific datasets for automotive, healthcare, retail, security, and more.
We use bounding boxes, polygons, key points, segmentation, and 3D annotations.
Yes, our datasets are optimized for applications like autonomous driving and surveillance.
Yes, we provide synthetic datasets to enhance training where real-world data is limited.
Yes, we offer sample datasets for evaluation.
