Label Only 40 Images. AI Labels The Rest.
Stop manual labeling. Build a custom AI model with just 40 examples and auto-label unlimited images in hours, not weeks.
From Months to Hours: VisionRepo Efficiency
Current Process
100,000
Images to label manually
Manual labeling by team
Repetitive, error-prone work
Quality bottlenecks
Expensive outsourcing costs
Months
Time to complete
VisionRepo Approach
100,000
Images to label manually
Train model on small dataset
Auto-label remaining 99,990 images
Model insights & validation
Export & deploy instantly
Hours
Time to complete
99.96%
Automated coverage
100x
Faster labeling
40+
Images to start
How It Works
Four simple steps to a fully labeled dataset
Upload Your Images
Drag and drop your dataset—handles any volume with fast batch uploads.
Upload Your Images
Drag and drop your dataset—handles any volume with fast batch uploads.
Label 40+ Per Class
Quick annotation of just 40+ examples per defect type or category.
Build Custom AI
Few-shot learning trains a model tailored to your labels—no coding.
Auto-Label the Rest
AI labels thousands of images with 99%+ accuracy. Review and export.
40+
Training Images vs 100s+ for competitors
Auto-Labeled. Unlimited dataset size
99%+
AI Accuracy Production-ready quality
100X
Faster Labeling Hours vs Months
Classification, Detection & Segmentation
One platform for all computer vision tasks
Classification
Categorize products, defects, or parts for quality control and sorting.
Detection
Segmentation
Your Model is Only as Good as Your Data
Research shows that AI model performance is fundamentally limited by data quality—not just model architecture. With VisionRepo, you get both: high-quality labeled datasets AND powerful AI models.
Consistent labeling:
AI ensures uniform annotation standards across your entire dataset
Reduced human error:
Eliminate inconsistencies from fatigue and subjectivity
Validation built-in:
Quality analytics ensure your training data meets production standards
Video Labeling
& Management
Ingest videos, label frames, track objects, and manage your video datasets all in one platform
Video Ingestion
Up to
100x%
faster
faster
Team
Collaboration
Collaboration
Frame Labeling
Object Tracking
Video Data Management
Complete DataOps for Visual AI
From raw images to production-ready datasets—manage your entire data lifecycle in one platform
Version Control
Track every dataset change with Git-like versioning
Auto-Tagging
Metadata extracted and organized automatically
Slice & Dice
Create custom subsets by any criteria
Real-Time Collab
Multiple annotators work simultaneously
Export Ready
Any format, any destination, instantly
Integrate Anywhere, Export Everywhere
From raw images to production-ready datasets—manage your entire data lifecycle in one platform
Universal Export
Export to COCO, YOLO, Pascal VOC, TFRecord, or create custom formats. No vendor lock-in—your data works anywhere.
✓ Complete flexibility
API & Integrations
RESTful API and webhooks seamlessly connect to your ML pipeline, CI/CD workflows, and existing tools.
✓ Workflow automation
Multi-Source Ingestion
Import from cloud storage (S3, Azure, GCS), local files, cameras, or integrate with existing data pipelines.
✓ Flexible data sources
VisionRepo vs Traditional Tools
 | Traditional Tools |
40 images Training Images Required | Manual only Training Images Required |
 Custom AI Model |  Custom AI Model |
Universal Export Formats | Limited Universal Export Formats |
Hours Time to Production | Weeks Time to Production |
Ready to 10x Your Labeling Speed?
Start labeling with AI today