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Annotate and label datasets for machine learning training with precision. Support for images, videos, text, audio, and 3D point clouds annotation. Collaborative workflows with quality control, consensus mechanisms, and version tracking. AI-assisted pre-labeling and active learning to accelerate annotation speed. Manage distributed teams with role-based access, task assignment, and productivity metrics.
🖼️ Image Annotation
Bounding boxes, polygons, keypoints, segmentation
🎥 Video Labeling
Object tracking, action recognition, frame-by-frame
📝 Text Annotation
NER, sentiment, classification, relationships
🎵 Audio Labeling
Speech transcription, sound classification, tagging
🤖 AI Pre-labeling
Auto-suggestions to speed up annotation 10x
✅ Quality Control
Multi-reviewer consensus, golden datasets, metrics
👥 Team Management
Assign tasks, track progress, monitor quality
🔄 Version Control
Dataset versioning, change tracking, rollback
📊 Export Formats
COCO, YOLO, Pascal VOC, TensorFlow, PyTorch
🚗 Autonomous Vehicles
Label road scenes, pedestrians, traffic signs
🏥 Medical Imaging
Annotate X-rays, MRIs, CT scans for diagnosis
🛒 Retail Analytics
Product detection, shelf monitoring, inventory
🔒 Security Systems
Face recognition, anomaly detection, surveillance
📱 Content Moderation
Flag inappropriate content, classify posts
🌾 Agriculture Tech
Crop disease detection, pest identification
Label high-quality datasets faster with AI-powered tools