Sold by: Roboflow: Computer Vision Platform
Deployed on AWS
Give your software the sense of sight with Roboflow's image-to-inference, end-to-end platform. Our developer tools and APIs simplify data collection, data annotation, model training, model deployment, and model maintenance so you can more easily use the power of computer vision.
Overview
Roboflow makes using computer vision easy for developers by simplifying data collection & annotation, model training & deployment with our dev tools & APIs.
Business processes - from tracking inventory to spotting oil releases to counting pills - can all be automated with computer vision. Roboflow provides the tools that make it simple, faster, and more accurate. Over 100,000 developers and half the Fortune 100 build with Roboflow's tools.
Use the Roboflow Platform to collect data (or use images and video from your S3 buckets), understand which images will produce a high quality model, automate annotation, preprocessing, and augment data. Use Roboflow Train and Deploy to seamlessly prototype datasets and put models into production - from hosted APIs to edge devices alike.
Roboflow also offers custom pricing plans, so if one of the plans listed in our pricing section does not meet your needs, please contact us by email (sales@roboflow.com ) or use our contact us page here: https://roboflow.com/sales .
Highlights
- Image-to-inference Computer Vision platform: Bring your images into Roboflow, prepare them for training by labeling and annotating in Roboflow Annotate, and perform preprocessing and augmentations on those images. You can then train a computer vision model with one-click training through Roboflow Train and one-click deployment using Roboflow Deploy.
- Annotate images super-fast, right within your browser: Label using any operating system without downloading any software. Use the most popular annotation formats including JSON, XML, CSV, and TXT. You and your team can annotate hundreds of images in mere minutes.
- Upload training data directly from the source: Upload files manually or via API including images, annotations, and videos. We support dozens of annotation formats and make it easy to continuously add new training data as you collect it. Search and understand your visual data. Bring any data from S3 and Roboflow will enable you to highlight which images you should use to begin creating your best models.
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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Dimension | Description | Cost/12 months |
|---|---|---|
Growth | 25k source, 100k generated images, 12k API calls | $24,000.00 |
Dimensions summary
This listing offers one contract option, the Growth plan, billed as a single unit. Your purchase covers a set allotment of usage: 25,000 source images, 100,000 generated images, and 12,000 API calls. Source images are the original images you upload. Generated images are the processed or augmented versions you create from them. API calls are requests you send to run models or workflows. These allotments define the capacity included in the plan. Since only one plan is available, there are no separate tiers or sizes to choose between.
Top-of-mind questions for buyers
An API call is a request sent to run a model or workflow on an image. Each inference request counts as one call. The Growth plan includes 12,000 calls. For usage beyond your included allotment, contact the vendor to discuss adding capacity, since overage handling is not stated in the listing.
Source images are the original files you upload, capped at 25,000. Generated images are the augmented or processed versions you create from those originals, capped at 100,000. Augmentation multiplies each source image into several processed versions. Both counts are tracked separately, so heavy augmentation consumes generated-image capacity faster than upload capacity.
The three allotments meter independently: source images, generated images, and API calls. Data-heavy projects with many augmentations reach the generated-image cap first. High-volume production deployments hit the API-call cap first. Teams uploading large datasets approach the source-image cap first. Your workload pattern determines which limit binds.
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Updated weekly
By Roboflow: Computer Vision Platform
By SuperAnnotate
By Akridata, Inc.
Top
10
In Computer Vision, Image
Top
25
In Data Labeling Services
Top
10
In Classification-Image, Classification-Video
Sentiment is AI generated from actual customer reviews on AWS and G2
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End-to-End Computer Vision Pipeline
Platform supporting complete workflow from data collection and annotation through model training and deployment across hosted APIs and edge devices
Automated Data Preparation
Automated annotation, preprocessing, and data augmentation capabilities with support for dozens of annotation formats including JSON, XML, CSV, and TXT
Browser-Based Annotation Interface
In-browser image labeling and annotation tool accessible across operating systems without requiring software installation
Multi-Source Data Integration
Support for uploading training data from multiple sources including manual file uploads, API integration, S3 buckets, images, annotations, and videos
One-Click Model Training and Deployment
Simplified model training through Roboflow Train and deployment options through Roboflow Deploy to both hosted APIs and edge devices
Data Annotation and Labeling
Advanced capabilities for annotating data across NLP, Computer Vision, LLM, and Generative AI applications with customizable user interfaces.
Dataset Management and Curation
Tools for building, managing, and curating AI-ready datasets with data visualization, exploration, and interactive dashboards for tracking dataset quality.
Model Performance Analysis
Vector-based similarity search and analytics capabilities to understand model performance, identify edge cases, mistakes in datasets, and track performance over time.
Fine-tuning and Model Optimization
Functionality to fine-tune and improve datasets by generating, rating, and comparing multiple model outputs to enhance AI model performance.
ML Pipeline Orchestration
Integrated platform for orchestrating machine learning workflows with support for zero-shot and few-shot learning capabilities.
AI-Powered Defect Detection
Integrates defect detection capabilities into production lines with real-time visual analysis and AI-driven identification of anomalies.
Real-Time Production Monitoring
Provides continuous monitoring of production lines with real-time command center functionality to track defect rates and compliance.
Computer Vision Model Development
Simplifies development and deployment of computer vision models through advanced data curation, annotation, and synthetic data generation tools.
Compliance and Explainability
Delivers full compliance, observability, and explainability features for AI-age regulatory requirements.
Interactive Data Preparation
Offers an interactive approach for data preparation and model training workflows.
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