> ## Documentation Index > Fetch the complete documentation index at: https://docs.nikaplanet.com/llms.txt > Use this file to discover all available pages before exploring further. # NikaLabeler > World's first geospatial-friendly labeler for annotating satellite and drone images with real-time collaboration, SAM 2.0 AI assistance, and seamless NikaWorkspace integration ## Overview NikaLabeler is the world's first and only geospatial-friendly image annotation platform designed specifically for top-down satellite and drone imagery. Built for efficiency and collaboration, it enables teams to annotate geospatial datasets with real-time synchronization, AI-powered assistance, and seamless integration with NikaWorkspace's data lake. NikaLabeler Interface ## Key Features ### Real-time Co-annotation * **Live Collaboration**: Multiple users can annotate simultaneously with real-time sync * **Cursor Synchronization**: See team members' cursor positions in real-time * **Live State Updates**: Approve/reject states and comments sync instantly across all users * **Progress Tracking**: Real-time progress bar at the top showing annotation completion ### Annotation Format Import/Export * **Import/Export**: Support for various annotation formats including COCO 1.0 * **COCO 1.0 Compatible**: Full support for importing and exporting in standard COCO 1.0 format * **Format Compatibility**: Seamless integration with existing ML pipelines ### Show Image Bound in NikaMap * **Geographic Context**: Load current image in a [NikaMap](/nika-planet/nika-map) for geo-referencing * **Spatial Navigation**: Navigate between images with geographic awareness * **Coordinate Reference**: Maintain spatial accuracy throughout annotation process ### SAM2 Smart Segmentation * **Interactive Segmentation**: Left-click for positive prompts, right-click for negative prompts * **Intelligent Suggestions**: AI-powered object detection and segmentation * **Faster Annotation**: Speed up annotation workflow with smart AI assistance ### SAM3 Text-Prompted Segmentation * **Text-Based Segmentation**: Leverage SAM3's cutting-edge text prompting to segment objects by simply describing them * **Boost Efficiency**: Dramatically accelerate annotation workflows by using natural language instead of manual clicks * **Smart Object Detection**: Automatically identify and segment complex objects using descriptive text prompts ### Team Management * **Role-Based System**: Reviewer and Labeler roles with distinct permissions * **Task Assignment**: Assign and re-assign annotation tasks to specific labelers * **Approval Workflow**: Built-in review process with approve/reject action * **Performance Tracking**: Labeler overview page showing percentage rejected/total for individual performance ## Data Integration ### NikaWorkspace Integration * **Direct Data Lake Access**: Load JPEG and PNG images directly from NikaWorkspace's data lake filesystem * **Task Creation**: Create annotation tasks directly with folders in NikaWorkspace's data lake * **Seamless Workflow**: No need to download/upload files - work directly with TBs of images in Nika's cloud platform ### Image Processing * **Auto Batch Conversion**: Automatically convert GeoTIFF (RGB channels) to JPEG for faster UI loading * **Format Support**: Native support for GeoTIFF, JPEG, PNG, and other common formats * **Optimized Performance**: Efficient image loading and rendering for large datasets ## User Interface ### Annotation Tools * **Polygon Drawing**: Draw and edit precise polygon annotations * **Navigation Controls**: Pan and zoom functionality for detailed annotation work * **Keyboard Shortcuts**: Efficient annotation with customizable keyboard shortcuts * **Intuitive Design**: Clean, geospatial-focused interface optimized for satellite imagery ### Job Management * **Job States**: Track progress with states (pending, in-progress, submitted for review, rejected, approved) * **Image Instructions**: Add instruction messages per image as caveats for specific annotation requirements * **Batch Operations**: Process multiple images efficiently with batch tools