Sourcing option
Video datasets for action recognition
Scope observable activities, temporal context, and independent source coverage.
Temporal learning · Multimodal models
Video training data.
Keep the full sequence.
A moving image is a sequence, not just a stack of frames. Find the right balance of duration, continuity, subject matter, and audiovisual context for your model.
A direct line to Fiund. Source fit and permissions reviewed for your project.
Task-first scope
Specify the outcome your model needs.
Source context
Keep file meaning and lineage connected.
Reviewable quality
Agree on evidence and acceptance criteria.
Direct conversation
Speak with Jaeden at Fiund.
Original photography
Actual footage, down to the frame.
Frames extracted from real recordings preserve the lighting, framing, expressions, and objects the cameras captured. Open a photograph for a closer look.
Real source photographs and video frames. Editorial examples; dataset availability and permitted uses are reviewed separately.View sources & full gallery →
Dataset solutions
Find the right source for the model task.
Sourcing option
Video data for temporal reasoning
Source sequences that preserve event order, state changes, and meaningful dependencies.
Sourcing option
Audiovisual video datasets for multimodal understanding
Specify how visible events, speech, and environmental sound should correspond.
Sourcing option
Talking-person video for audiovisual model projects
Define active-speaker visibility, conversational formats, and project-specific intended uses.
Sourcing option
Long-form video for search and retrieval
Plan searchable sessions, evidence intervals, and reviewable temporal metadata.
Category context
Different sources. Different review questions.
Activity and event footage
Sequences for action recognition, event understanding, and temporal reasoning. Specify whether you need uninterrupted activities, short clips, or both.
Talking-person video
Single-speaker presentations, interviews, and conversation formats. Describe framing, speaker visibility, audio alignment, language, and permitted training uses.
Long-form audiovisual content
Extended footage for multimodal understanding. Define continuity, scene changes, on-screen text, music, and audio-track requirements instead of relying on duration alone.
Why the details matter
Better data starts with a better definition.
Video sourcing starts with how a model uses time. Recognizing an object, following an interaction, and learning an activity across several minutes call for different material. Video Training Data is a Fiund inquiry site for buyers defining those requirements and exploring suitable footage.
Explore quality & provenance →Specification essentials
01Temporal unit
02Picture and sound
03Content restrictions
04Labels and splits
Technical scope
Specify the collection before counting the volume.
Temporal unit
Clip length, session length, continuity, and whether cuts or transitions are acceptable.
Picture and sound
Resolution, frame rate, codec, aspect ratio, track layout, and synchronization needs.
Content restrictions
Subtitles, overlays, watermarks, music, edits, synthetic material, or excluded subjects.
Labels and splits
Descriptions, temporal annotations, source grouping, and train/evaluation separation.
Real recordings
Watch real recordings.
Three short clips from the studio and Jaeden’s Riverside archive. These web excerpts are silent; source audio, timestamps, annotations, and permitted use belong in the project scope.
Real conversations at Podcast Studio AZ
Recorded conversations at Podcast Studio AZ · 14 seconds · silent editorial clip.
Jaeden Schafer recording in his podcast studio
Jaeden’s original Riverside recording · 15 seconds · silent editorial clip.
Jaeden Schafer in a real Riverside recording
Jaeden’s original Riverside recording · 15 seconds · silent editorial clip.
Recorded voice
Jaeden Schafer — archival AI Chat speech excerpt
Real solo podcast speech from Jaeden’s July 2, 2025 recording. Editorial audio example; not a telephone call or an advertised training-data sample.
Read the automatic transcript
Today on the podcast, I wanted to do a big update on xAI, some things happening over at X, as I think this is a pretty significant amount of money that has just been put into the ecosystem.
How sourcing works
From the first brief to a reviewable handoff.
01 / PROJECT STAGE
Define the target
Video sourcing starts with how a model uses time. Recognizing an object, following an interaction, and learning an activity across several minutes call for different material. Video Training Data is a Fiund inquiry site for buyers defining those requirements and exploring suitable footage.
02 / PROJECT STAGE
Write the specification
Model task and content categories; Desired duration and total volume; Video and audio specifications; Overlays, edits, and content exclusions; Commercial use, sample criteria, and timing. These details establish the project’s review criteria and reveal where further clarification is needed.
03 / PROJECT STAGE
Review sourcing fit
Discuss which existing sources or collection approaches could address the brief. Identify access constraints, source documentation, and unanswered permission questions before treating a category as usable inventory.
04 / PROJECT STAGE
Inspect representative material
Where appropriate material can be shared, agree on handling and inspect it against the specification. Record defects, coverage gaps, and annotation questions against exact source identifiers.
05 / PROJECT STAGE
Agree the project scope
Confirm the selected material, intended uses, preparation work, acceptance criteria, commercial terms, and delivery arrangements in a project-specific agreement.
06 / PROJECT STAGE
Review the handoff
Check file references, manifests, documented processing, and accepted exceptions. Keep permission review and technical acceptance explicit, and resolve open issues before the collection is treated as approved for the intended use.
Field notes
Practical reading for a sharper brief.
Resource guide
Specify video data for action recognition
Define observable actions, clip context, and competing labels before sourcing activity footage.
Resource guide
Write temporal annotation rules that reviewers can apply
Define event starts, ends, overlap, and uncertainty in video annotation.
Resource guide
Choose short video clips or complete activity sequences
Match the temporal unit to the prediction task and the evidence a model needs.
Resource guide
Source long-form video for extended context
Define continuity, session structure, and retrieval needs in longer recordings.
Resource guide
Review audio and video synchronization in training footage
Specify alignment needs and inspect the exact media combination intended for delivery.
Resource guide
Scope video with visible speakers
Distinguish face visibility, speaking activity, framing, and intended audiovisual uses.
Common questions
Before you source.
Can I request footage without subtitles or overlays?
Yes. Include that requirement and specify whether watermarks, scoreboards, lower thirds, logos, and embedded captions are all excluded. These are different properties and should be checked on representative samples.
Are existing video archives and new collection both options?
You can inquire about either. Existing archives may have capture limitations; a custom collection requires an agreed brief. Jaeden will discuss fit and feasibility before presenting any delivery commitment.
Does permission to license video automatically include every soundtrack and person?
Do not assume that. Tell us your intended use and discuss the relevant source permissions, participant considerations, and third-party material as part of the project review.