Image classification from raw photos to reviewable results
Plan the collection, transformations, evaluation groups, and review process behind a meaningful visual classification.
Read the guide ↗VISION & IMAGERY
Videos Neuro Browser
Treat video as a sequence with time and context, not simply a pile of independent image labels.
TOPIC GUIDE / 04 · READ, QUESTION, EXPLORE
Preserve the timeline
For a video review project, define whether the unit is a frame, a clip, or a complete recording. Keep timestamps with extracted images and record how frames were selected. A still image cannot establish everything that happened before or after it. Ask reviewers to return to the relevant segment when the task depends on motion, order, or duration.
Keep related material together
When designing an evaluation, avoid placing adjacent frames from the same source into supposedly independent groups. Record the recording-level relationships before sampling. Include interruptions, poor visibility, and segments outside the task. This page explains review design; NeuroBrowser.com does not process video, host recordings, or generate automated event reports.
Three questions to take with you
01What is the unit being labeled?
02Can the reviewer return to the exact segment?
03Were related clips separated appropriately?
Reference for this topic: TensorFlow image classification tutorial. Read the original context alongside the guide.