YOLO Labeling

Parses YOLO-format YAML configuration files within VS Code workspace to dynamically load and display associated image files in a sidebar panel. The extension reads YAML metadata (dataset paths, image references, class definitions) and renders images with overlaid bounding box annotations without requiring external tools. Integration occurs via right-click context menu on YAML files, establishing a direct link between configuration and visual preview.

Renders YOLO annotation data (bounding boxes for detection, polygon masks for segmentation, keypoints for pose) as visual overlays on images within the extension's preview panel. The extension parses annotation coordinates from YAML/text format and draws them as geometric shapes (rectangles, polygons, points) with class labels and confidence scores. Rendering occurs client-side in VS Code's webview component without external rendering libraries.

Provides keyboard-driven navigation (previous/next image) through images in a YOLO dataset, maintaining state of current image index and automatically loading associated annotations. Navigation is implemented via keyboard shortcuts (specific bindings unknown from documentation) that iterate through image file list derived from YAML configuration. State is preserved in the sidebar panel during the VS Code session.

Supports parsing and rendering of multiple YOLO annotation formats through format-specific parsers: COCO8/COCO128 for object detection (bounding boxes), COCO8-seg for instance segmentation (polygon masks), COCO8-pose and Tiger-pose for keypoint detection (joint coordinates), and DOTA8 for oriented bounding boxes (OBB). Each format has dedicated parsing logic to extract coordinates, class IDs, and metadata from YAML/annotation files and render them appropriately. Format detection occurs automatically based on YAML configuration structure.

Allows users to edit existing YOLO annotations (bounding box coordinates, class labels, segmentation masks) directly in the extension's sidebar panel without leaving VS Code or using external tools. Editing mechanism unknown from documentation — likely involves text input fields or direct coordinate manipulation. Changes are written back to YAML/annotation files in the workspace, maintaining file system consistency.

Automatically detects YOLO-format YAML configuration files in VS Code workspace and establishes associations with referenced image files and annotation data. The extension validates that YAML structure conforms to YOLO format expectations (required fields: path, train, val, nc, names) and that referenced image files exist in the workspace. Validation occurs on file open or via right-click context menu trigger. Invalid configurations are flagged (mechanism unknown — likely error messages or visual indicators).

Displays class names and IDs from YOLO dataset configuration (defined in YAML 'names' field) and associates them with rendered annotations. Each annotation overlay includes class label text color-coded or labeled by class ID. The extension reads class definitions from YAML and maintains a mapping between numeric class IDs in annotation data and human-readable class names for display.