Folstag Anno

Multi-sensor annotation that keeps every frame, every point, and every signal aligned.

Folstag Anno multi-modal workspace showing 2D video annotation alongside a 3D LiDAR point cloud viewer

Complete Multi-Modal Suite

Our proprietary annotation platform, purpose-built to handle the most demanding sensor arrays in a unified, high-performance workspace.

2D Video Annotation

We deliver frame-accurate spatial annotation with sub-millisecond precision and full navigation control.

  • Bounding boxes with class labels
  • Polygons and semantic masks
  • Cuboid projections for 2D
  • Keypoints and pose estimation
  • High-speed navigation engine

3D Point Cloud

Our annotators work in true 3D space with full spatial manipulation and real-time rendering.

  • 3D bounding boxes with gizmo
  • Paint brush and lasso selection
  • Height & intensity colorization
  • RGB and classification coloring
  • Optimized for millions of points

Sensor Fusion

We bridge the gap between 2D and 3D with a unified, calibrated workspace.

  • Extrinsic & intrinsic calibration
  • 3D-to-2D projection mapping
  • Lens distortion correction
  • Linked cross-modal annotation
  • Wireframe video overlays

AI Automation

Built-in machine learning acceleration that scales with your project's complexity.

  • YOLOv8 & custom model inference
  • Deep SORT multi-object tracking
  • SAM 2 segment anything model
  • Hybrid auto-propagation (CSRT)
  • Direct model training integration

Workflow Logic

Our dual-layer system combines spatial annotation with temporal process tracking for your workflows.

  • Machine state timeline sync
  • Custom taxonomic hierarchies
  • Scene segmentation tracking
  • Dual-layer spatial/temporal logic
  • Completion & QA verification

Security & Customization

Built to meet the requirements of government, defense, and high-security enterprise engagements.

  • 100% Offline operation (Air-gapped compatible)
  • Self-contained local SQLite databases
  • Project-specific customization
  • Modifiable sensor arrays & taxonomies
  • Custom delivery requirements

Context That Transforms Quality

Anno bridges the gap between what the camera sees and what the machine is doing. We sync multi-channel telemetry — speed, steering, hydraulics, engine states — directly into your project's annotation timeline.

Every data point is time-aligned with every video frame, turning raw footage into comprehensive operational context for your models.

Speed Steering Throttle Brake GPS IMU Hydraulics RPM
LIVE SYNC
km/h deg %
00:00:15.240 00:00:15.780 00:00:16.320 00:00:16.890
Speed Steering Throttle

Adaptable by Design

Anno is not a licensed product with a fixed feature set. We built it, we maintain it, and we extend it for every engagement. When a project requires a new sensor input, a custom taxonomy, or a delivery schema that doesn't exist yet, our engineering team modifies the platform directly.

This is the practical advantage of proprietary tooling: your requirements define the roadmap, not the other way around.

MP4 / H.264 H.265 / HEVC PCD / PLY / LAS FLIR Radiometric CSV Telemetry Custom Ingest

Custom Sensor Ingest

RGB video up to 4K/60fps, 32–128 channel LiDAR point clouds, FLIR-grade thermal radiometric data, and synchronized multi-channel telemetry. New sensor types are integrated as projects require them.

Project-Specific Taxonomies

Hierarchical label schemas, conditional attributes, and domain-specific classification trees built to match your model's ontology — not a generic preset list.

Custom Export Schemas

Beyond standard formats: proprietary JSON structures, augmented metadata fields, coordinate transformations, and client-defined naming conventions.

Workflow Modifications

Annotation pipelines, QA gate logic, review stages, and completion criteria configured per project. The tool adapts to your process, not the reverse.

Pipeline-Ready Export

We deliver your annotated data in major industry standards, with full control over mapping, extraction, and output quality.

COCO JSON Detection & Segmentation

Bounding boxes, polygons, keypoints with per-instance metadata

YOLO TXT Real-time Models

Normalized coordinates for single-stage object detection

Pascal VOC XML Standard

Per-image XML with bounding box and class annotations

KITTI TXT Autonomous Driving

3D bounding boxes with rotation and truncation values

CSV Custom Pipelines

Flexible schema mapping for proprietary training pipelines

We also handle frame extraction at custom intervals, JPG/PNG quality control, per-label coverage statistics, and custom schema mapping for your proprietary pipelines.

Built for Long-Form Operations

Anno was designed for the datasets Folstag captures: hours of continuous multi-sensor footage from real-world operations, not short clips from crowdsourced libraries.

Long-Duration Datasets

Engineered for continuous capture sessions spanning hours of synchronized video, LiDAR, thermal, and telemetry data. Project databases handle tens of thousands of frames without performance degradation.

High-Speed Navigation

Frame-accurate seeking across long timelines with sub-millisecond precision. Our annotators move through hours of your footage efficiently — scrubbing, jumping, and reviewing without waiting for buffers or re-renders.

Offline-First Architecture

Designed for air-gapped environments with no cloud dependency. Your data never leaves a secure local environment — no uploads, no third-party servers, no external calls. Built for defense, government, and high-security enterprise engagements.

End-to-End Pipeline

Folstag captures the data and annotates it in the same toolchain. No format conversions between vendors, no context lost in handoffs, no ambiguity about what the camera was recording. One team, one platform, full traceability.

Common Questions

Folstag Anno is a proprietary desktop annotation platform built by Folstag Data Collection for professional video, thermal, LiDAR, and telemetry annotation. It operates fully offline with AI-powered automation (YOLOv8, Deep SORT, SAM 2), camera-LiDAR fusion, and vehicle telemetry sync — your data never leaves your local environment.

Import CSV telemetry files and Folstag Anno time-aligns speed, steering angle, throttle position, brake pressure, GPS coordinates, IMU readings, and other sensor data with every video frame in a unified annotation workspace. Supports configurable CSV delimiters, timestamp formats (Unix, ISO8601, HH:mm:ss), and custom column mapping.

Folstag Anno supports YOLOv8 object detection (pretrained and custom models), Deep SORT tracking across 30+ frames, SAM 2 video segmentation (Segment Anything Model 2), custom model training directly from annotations, and multi-method auto-propagation using CSRT, histogram matching, and interpolation.

Folstag Anno is currently used internally as part of Folstag's data annotation services. Contact us to discuss your annotation needs and how our platform and team can support your project.

Folstag Anno exports annotations in COCO JSON, YOLO TXT, Pascal VOC XML, KITTI TXT, and CSV formats. It also supports frame extraction with configurable image format (JPG/PNG), quality settings, and naming conventions, plus an export preview with per-label statistics.

Customized Data Infrastructure for Your Project

Anno is our proprietary engine that powers every dataset we deliver. Whether your project requires unique sensor fusion or bespoke taxonomic logic, our team can tailor Anno to deliver the mission-critical data your models need.

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