Quick Access
The only platform built specifically to help you analyze, plan, and manage computer vision training data.
TRUSTED BY THE WORLD'S LEADING ML TEAMS
Why Choose Synthmark
Product Capabilities
The only workspace built specifically to help machine learning engineers and annotation teams build high-quality vision models.
Automation Standard
Import raw frames, automatically align object schemas, and dispatch pre-labeling APIs in minutes.
Precise Methodologies
Continuous overlap (IoU) checks and annotator drift monitoring directly out of the box.
Built for Teams
Clear audit paths and project-level throughput monitoring keep you ahead of milestones.
Actionable Paths
Set labeling goals per model iteration, lock schema definitions, and observe performance dynamically.
Dataset Milestone Target
82,400
/ 100,000 Annotations
Total Progress
82.4%
Pricing Details
Simple plans centered on collaborators and project count — never evaluate based on opaque API token limits.
Pro
PopularPrivate workspace for one builder who needs review-ready datasets and exports without a team seat model.
Team
$15/user/month, minimum 5 users. Built for private shared projects, roles, assignment, and review operations.
TESTIMONIAL
“Synthmarkhascompletelychangedhowweapproachdatasetquality.It'sthefirsttimewe'vehadtotalvisibilityintoourlabelaccuracyandcanmakerevisionsinrealtime.”
Dr. Evelyn Parker
VP of Computer Vision, Motional
QUESTIONS
Everything you need to know about the platform, pipelines, billing, and formats.
Yes. Synthmark lets you combine box, polygon, and keypoint annotations inside a single project under the same label schema, review queues, and export configurations.
Yes. Annotators can use integrated bounding box detectors (YOLOv9) and interactive segment-anything models (SAM) to generate pixel-level segmentations in seconds. All AI suggestions remain subject to reviewer verification.
Synthmark natively exports to COCO, YOLO, Pascal VOC, and a comprehensive custom JSON format, ensuring easy consumption by PyTorch, TensorFlow, or custom vision loaders.
Images flow from labeling to a dedicated review queue. QA Leads inspect annotations, check them against instructions, and either approve or reject with comments, returning them to the annotator's workspace.
Teams using Synthmark ship verified datasets faster — with built-in QA loops and zero export rewrites.
