Guaranteed Task Completion Time
Enterprise-grade SLAs include task completion times and tasks can be rapidly scaled up and down to meet your requirements.
Scale RapidThe fastest way to production-quality labels.
Scale StudioLabeling infrastructure for your workforce.
Scale 3D Sensor FusionAdvanced annotations for LiDAR + RADAR data.
Scale ImageComprehensive annotations for images.
Scale VideoScalable annotations for video data.
Scale TextSophisticated annotations for text-based data.
Scale AudioAudio Annotation and Speech Annotation for NLP.
Scale MappingThe flexible solution to develop your own maps.
Scale NucleusThe mission control for your data
Scale ValidateCompare and understand your models
Scale LaunchShip and track your models in production
Scale Document AITemplate-free ML document processing
Scale Content UnderstandingManage content for better user experiences
Scale SyntheticGenerate synthetic data
The scalable annotation platform for videos.
Confidently deploy highly accurate models to detect and track objects, predict and plan behavior, classify videos and more.
Locate and identify objects of various classes and track them frame by frame.
• Product Identification
• Damage and Defect Detection
• Sports Analytics
Understand relationships between objects and predict behavior and intent.
• Autonomous Vehicles and ADAS
• Autonomous Checkout
• Physical Security
Classify entire videos or events within videos with start and end timestamps.
• Search and Ad Relevance
• Topic Modeling
• Policy Enforcement
Build models you can trust while maximizing operational efficiency and reducing the cost of ML projects.
Bounding Box
Classification
Polygon
Cuboid
Annotate all the vehicles, pedestrians and traffic lights in the video.
1client.createVideoannotationTask({
2 callback_url: 'http://www.example.com/callback',
3 instruction: 'Annotate all the vehicles, pedestrians and traffic lights in the video.',
4 attachment_type: 'video',
5 attachment: 'http://example.com/video.mp4',
6 objects_to_annotate: ['person'],
7 },
8 (err, task) => {
9 // do something with task
10 }
11);
Receive large volumes of high-quality annotated videos via ML-powered pre-labeling and active tooling such as smart interpolation and superpixel segmentation as well as ML-based quality checks.
Have confidence in the quality of annotated data. Quality assurance systems built into the product rapidly monitor and prevent errors. ML model confidence scores trigger varying levels and types of human review.
Submit videos as a distinct data type or as a sequence of images for annotation. Native video annotation is best suited for user-generated content, sports footage or any video combined with audio.
Jointly represent data to understand relationships between different modalities. Scale Video supports integration with audio, voiceovers, transcripts, and text in a single task to link different types of data inputs.
Specify geometries for different classes (e.g. polygons for furniture, ellipses for plates). Combine geometries in a singular task and label for events (e.g. music playing) to enhance scene understanding.
Annotate hours-long videos to accurately track objects. Our advanced algorithms enable no limits on video length with tracking accuracy even for objects that leave the camera view for long periods of time.
Get started today with on-demand, or chat with us about an enterprise plan.
Enterprise-grade SLAs include task completion times and tasks can be rapidly scaled up and down to meet your requirements.
Each enterprise customer is paired with a dedicated engagement manager who will ensure smooth on-boarding and continued data delivery.
Enterprise engagements provide upfront and volume-based discounts, and is the most cost-effective solution for high-quality labels. Plus with Scale AI, there are no platform fees.
Industry leading quality datasets safe-guarded against ever-changing, messy data.
Video tasks submitted to the platform are first pre-labeled by our proprietary ML models, then manually annotated and reviewed by highly trained workers depending on the ML model confidence scores. All tasks receive additional layers of both ML-based checks and human review.
The resulting accuracy is consistently higher than what a human or synthetic labeling approach can achieve independently.
Scale Video is trusted by leading machine learning teams to develop more accurate models.