Sourcing field guide
Specify video data for action recognition
Define observable actions, clip context, and competing labels before sourcing activity footage.
← Video Training Data
Original studio photography · Podcast Studio AZSource & media notes ↗
Fiund / Resources
The resource library.
Original guides to video training data: source selection, collection design, annotations, evaluation, and project review.
27 guides shown
Sourcing field guide
Write temporal annotation rules that reviewers can apply
Define event starts, ends, overlap, and uncertainty in video annotation.
Sourcing field guide
Choose short video clips or complete activity sequences
Match the temporal unit to the prediction task and the evidence a model needs.
Sourcing field guide
Source long-form video for extended context
Define continuity, session structure, and retrieval needs in longer recordings.
Sourcing field guide
Review audio and video synchronization in training footage
Specify alignment needs and inspect the exact media combination intended for delivery.
Sourcing field guide
Scope video with visible speakers
Distinguish face visibility, speaking activity, framing, and intended audiovisual uses.
Sourcing field guide
Specify interview and conversation video datasets
Plan turns, camera layouts, track structure, and conversational context for video projects.
Sourcing field guide
Decide how video edits affect training examples
Specify cuts, transitions, camera changes, and inserted material for temporal datasets.
Sourcing field guide
Specify captions, overlays, and watermarks in video data
Replace an ambiguous clean-video request with inspectable visual-content rules.
Sourcing field guide
Review music and inserted media in video collections
Specify soundtrack and third-party insertions separately from the primary recording.
Sourcing field guide
Specify frame rate around the motion your task needs
Distinguish captured timing, delivered timing, and the temporal detail visible in footage.
Sourcing field guide
Set video resolution and framing requirements
Specify useful visual detail over time rather than relying on export dimensions.
Sourcing field guide
Compare source recordings and published video exports
Understand which version preserves the context, tracks, and relationships your project needs.
Sourcing field guide
Check video file integrity before content acceptance
Separate decoding failures, missing tracks, and timeline problems from semantic suitability.
Sourcing field guide
Identify duplicate footage across clips and alternate edits
Count source coverage honestly while preserving useful related video examples.
Sourcing field guide
Design evaluation splits for video productions and sessions
Separate source relationships that can otherwise make video evaluation misleading.
Sourcing field guide
Scope video data for event retrieval
Define searchable events, evidence intervals, and relevance judgments for retrieval systems.
Sourcing field guide
Write grounded descriptions for video clips
Specify event order, visible evidence, and text origin in video-language annotations.
Sourcing field guide
Decide when a vision task needs video instead of photos
Match temporal evidence requirements to the unit you acquire and annotate.
Sourcing field guide
Plan activity coverage across video conditions
Build a practical matrix of actions, settings, actors, and temporal variations.
Sourcing field guide
Specify camera motion and viewpoint in video collections
Define tracking, stability, perspective changes, and subject visibility for temporal tasks.
Sourcing field guide
Run a useful video dataset sample review
Review full examples, labels, media structure, and source fit before expanding acquisition.
Sourcing field guide
Create a video delivery manifest for temporal data
Connect media versions, tracks, clips, labels, and source groups in one reviewable structure.
Sourcing field guide
Compare video sourcing proposals through usable scope
Understand duration units, continuity, annotations, and review effort without invented price benchmarks.
Sourcing field guide
Choose archived footage or a new video collection
Compare existing footage and planned capture against temporal, audiovisual, and source requirements.
Sourcing field guide
Write a video training data specification
A sourcing checklist for continuity, encoding, sound, and content exclusions.
Sourcing field guide
Avoid source overlap in video dataset evaluation
Define clip families, source sessions, and participant grouping before separating training and evaluation.