Custom computer vision
models for any use case

Train private, task-specific, small-vision models that are faster, smarter, and less expensive than Large Vision Models — no ML required.

14-day free trial · No credit card · Cancel anytime

Retail

Product recognition & shelf analytics

Higher accuracy than foundational models at a fraction of the cost

The fastest path from idea to production ready computer vision models.

vfrog 95% accuracy computer vision model

95% Accuracy

Built for your data, not everyone else's. Our models learn exactly what you need to detect - nothing more, nothing less.

75% Cheaper Than Foundation Models

Small vision models train in hours, not weeks. And their compact size means you can run them on affordable hardware without the cloud bill.

vfrog cheaper than foundation models

Low Latency

Under 50ms on edge, under 300ms on cloud. Fast enough for any application, anywhere.

vfrog low latency computer vision inference

Cloud or Edge

Deploy wherever makes sense for your business. Small model size means you're not locked into expensive infrastructure.

vfrog cloud or edge deployment

Free Image Annotation Tool

Draw bounding boxes, polygons, and segmentation masks — then export as YOLO, JSON, or COCO. Free forever, no credit card required.

vfrog free image annotation tool — draw bounding boxes, polygons, and masks

A custom model for any use case

We leverage your data to create specialized models with high accuracy where it matters.

Manufacturing & Industry

  • Quality Control: Automated inspection systems detect product defects, such as broken tablets in pharmaceutical packaging, damaged parts on conveyor belts, or incorrect assembly.
  • Predictive Maintenance: Cameras monitor machinery, using visual data to predict equipment failure before it happens.
  • Robotic Guidance: Robotic arms use computer vision to identify, pick, and position components on assembly lines.

Agriculture & Environmental Monitoring

  • Crop and Soil Health: Drones and cameras monitor crop growth, disease, and pest infestation for targeted pesticide use.
  • Harvesting Robots: Automated systems identify and pick ripe produce.
  • Wildlife Monitoring: Tracking animal behavior for conservation efforts.

Transportation & Automotive

  • Autonomous Vehicles: Self-driving cars use cameras to interpret traffic signs, detect pedestrians, recognize lane markings, and avoid collisions.
  • Traffic Monitoring: Analyzing traffic flow to optimize signal timing and manage congestion.
  • License Plate Recognition: Automated systems for parking, tolls, and security.

Retail & E-commerce

  • Automated Checkout: Systems, such as "Just Walk Out" technology, allow shoppers to pay without scanning items.
  • Inventory Management: Cameras monitor shelves to track stock levels and alert staff for restocking.
  • Customer Analytics: Tracking foot traffic, dwell times, and behavior to optimize store layouts.

Security & Safety

  • Facial Recognition: Identifying authorized personnel or flagging individuals in security surveillance.
  • Employee Safety: Monitoring workplaces to ensure compliance with safety protocols and detect hazards.
  • Anomaly Detection: Identifying suspicious activity, such as loitering or theft, and detecting fire or smoke.

Healthcare & Medical Imaging

  • Diagnostic Imaging: Algorithms analyze MRI scans, X-rays, and CT scans to detect diseases like cancer or pneumonia, supporting radiologists in diagnosis.
  • Retinal Screening: Identifying abnormalities in eye images to detect diseases.

What is Vfrog and how does it work?

Vfrog is an Agentic Computer Vision Platform that serves as your on-demand computer vision engineer. Upload your images, and our AI automatically detects and annotates objects. Then use our HALO (Human Assisted Labelling of Objects) system to refine annotations with an intuitive drag-and-drop interface, train custom models, and iterate to improve accuracy.

How does the credit system work?

Vfrog uses a credit-based system for fair, usage-based pricing. Credits are consumed when you use our AI tools: Auto-Annotation (SSAT) costs 5.89 credits per image, Training costs 4.47 credits per image, Batch Inference costs 0.26 credits per image, and API calls cost 0.03 credits each. Credits roll over and expire after 3 months.

What plans do you offer?

We offer Starter ($49/month with 1,000 credits), Pro ($99/month with 3,000 credits), Business ($299/month with 12,000 credits), and Enterprise (custom pricing with 100k+ free annotations). All plans include core features, with higher tiers offering more deployment environments and dedicated support.

Can I upgrade or downgrade my plan?

Yes! Upgrades take effect immediately with full credits granted and your billing cycle reset. Downgrades are scheduled for the end of your current billing period, and you'll be charged the new rate at your next cycle.

Do you offer a free trial?

Yes! We offer a 14-day free trial with 500 credits to test the platform. No payment is required upfront. If you don't subscribe after the trial ends, your trial credits will be withdrawn.

What if I run out of credits?

You can purchase credit packs anytime: Small ($25 for 400 credits), Medium ($75 for 1,500 credits), or Large ($200 for 5,000 credits). Credit packs are available to organizations with active subscriptions and credits are added instantly upon purchase.

What kind of support do you provide?

We offer multiple support channels to help you succeed. Chat with Kermit, our AI assistant, for instant help anytime. You can also reach our team via email support. Business plan include priority support, while Enterprise customers receive dedicated account management.

Frequently Asked Questions

Everything you need to know about Vfrog. Can't find what you're looking for? Contact us

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