LaSoFly's Mathematical Path to Ground Truth
Learn how LaSoFly generates high-quality training data through blind labeling, the Hungarian Algorithm, and automatic consensus calculation.
Duration: approx. 18 minutes
Background
Automatic detection of objects...
- Forestry
- Urban greening
- Climate research
- Disaster prevention
Neural networks can do this excellently...
LaSoFly's Mission
LaSoFly is not...
LaSoFly is a specialized...
- Fast circle-based
- Multi-annotator
- Automatic quality
- Release only high-quality
The Core Principle
Circle-based Annotation
Tree crowns are approximately circular...
- Left click: Draw new circle
- Right-drag: Adjust radius
- Left double-click: Delete
- Mouse wheel: Enlarge
Multi-Annotator Workflow
Multiple annotators...
- Blind:
- Parallel:
- Independent:
Automatic Consensus Calculation
After all annotations...
- System compares
- Hungarian Algorithm
- IoU-Scores
- Quality Scores
- Admin reviews
Comparison to Other Tools
| Produkt | Stärke | Schwächen | Deshalb LaSoFly |
|---|---|---|---|
| Label Studio | Generic labeling tool | No domain-specific consensus | Consensus-Matching direkt eingebaut Label Studio is generic. LaSoFly specializes in consensus: multiple annotators label the same image blindly and independently. The system automatically compares annotations, matches objects via Hungarian Algorithm, and calculates quality scores. |
| SAM (Segment Anything) | Powerful AI segmentation | Not a labeling tool | Organisiert echte Ground Truth SAM auto-segments but isn't a labeling system. LaSoFly is a complete system: humans label blindly, LaSoFly aggregates multiple annotations into validated training labels. |
| CVAT | Multi-user, open-source | No circle consensus | Spezialisiert auf Circle-Consensus CVAT is generic multi-user without automatic consensus. LaSoFly has circle-specific annotation and automated consensus matching using the Hungarian Algorithm to match and score circles. |
| Roboflow | Cloud-based, easy | No quality levels | Mit Qualitätsbewertung Roboflow is cloud-based and simple but lacks quality levels and consensus validation. LaSoFly with multiple annotators and mathematical quality scoring ensures only high-consensus annotations are released for training. |
| Labelbox | Professional platform | No blind labeling | Mit Blind-Labeling Labelbox is professional but annotators see previous work. LaSoFly with blind labeling: annotators don't see each other's work, ensuring objective, unbiased consensus scores. |
| Scale AI | High-quality service | External, expensive | In-House Kontrolle Scale AI is outsourcing with high costs and external dependencies. LaSoFly is self-managed in-house with full control over data, processes, and quality standards. |
| Amazon SageMaker | Cloud integration | AWS lock-in | Keine Vendor-Lock-in SageMaker is tightly coupled to AWS and expensive. LaSoFly runs on your infrastructure, independent of cloud providers. Docker-based: flexible, portable, and cost-effective. |
| Hasty.ai | AI-assisted annotation | No blind labeling | 100% manuelle Kontrolle Hasty.ai uses AI assistants for semi-automatic annotation. LaSoFly is 100% manual: humans decide, not models. This provides true ground truth without AI bias, essential for training data. |
| VIA (VGG) | Simple, open-source | No consensus | Mit Consensus & Qualitätsmetriken VIA is simple and open-source but lacks multi-annotator management and consensus. LaSoFly with automatic consensus matching, inter-annotator agreement scoring, and quality levels ensures validated training-ready data. |
| LaSoFly | Specialized for objects | Only circles | Spezialisiert auf Consensus LaSoFly specializes in fast circle annotation with multi-annotator consensus. Blind labeling, automatic matching via Hungarian Algorithm, inter-annotator agreement scoring, and quality levels ensure only high-quality data is released for training. |
Why LaSoFly is Better
- ✓ Domain-specific
- ✓ Blind Consensus
- ✓ No ML expertise
- ✓ Automatic quality
- ✓ Human-in-the-loop
Ready for the technical details?
To Quality Assurance