SilkTrain / Annotation tools
Hire an annotation team for the tools you use
Choose your workspace and see a sample assignment. SilkTrain scopes the work, finds suitable reviewers and agrees on an export you can check before expanding the project.
Annotation tools
Staffing depends on the skills, language, product edition and access your project requires. We confirm these with you before quoting.
Multimodal
- Amazon SageMaker Ground Truth
Label vehicles in a sample image batch inside your approved Ground Truth workforce setup. Ground Truth is closed to new customers. Existing customers can request this pilot in their own workforce setup.
- Ango Hub
Mark invoice numbers, dates and totals in a small set of synthetic documents in your Ango Hub project.
- BasicAI
Fit 3D cuboids to parked vehicles in a short LiDAR sequence from your BasicAI workspace.
- Dataloop (Dell Data Orchestration Engine)
Label an image sequence and collect cases where objects disappear or the class list is incomplete.
- Diffgram
Draw boxes around visible surface indications in sample inspection images using the Diffgram version installed in your environment.
- Kili Technology
Have two reviewers independently label a sample of visually similar defects in your Kili workspace.
- Label Studio
Mark complaint categories and evidence spans in a small set of anonymized support messages.
- Labelbox
Compare two possible answers for each prompt in a small evaluation set with the same rubric.
- Scale Studio
Review a pilot batch against your existing Scale Studio taxonomy and record ambiguous examples for adjudication.
- SuperAnnotate
Trace the edges of small components in close-up product images using your class definitions.
Computer vision
- CVAT
Track moving equipment in a short video using persistent object identifiers.
- Datature Nexus
Label a set of components at different scales in your available Datature workspace.
- Encord
Mark the start and end of events in a short video sequence against your event definitions.
- Roboflow
Box packaged products on shelf images, including partially hidden items.
- Segments.ai
Track one object through a short sequence of synchronized camera and LiDAR frames in your Segments.ai project.
- Supervisely
Distinguish touching instances of the same class in a sample of inspection images.
- V7 Darwin
Trace the outline of one part across consecutive inspection images using the client’s agreed classes.
Text and language
- Argilla
Rank pairs of assistant responses and explain disputed choices using the reference answer.
- Datasaur
Mark organization names and contract dates in synthetic procurement text.
- doccano
Classify customer intents and mark the phrases that support each decision in a sample corpus.
- LightTag
Review named-entity spans in your existing LightTag workspace or an approved export of its annotations.