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gemini-count-in-video
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Analyze and count objects in videos using Google Gemini API (object counting, pedestrian detection, vehicle tracking, and surveillance video analysis).
When to use
- This skill enables video analysis and object counting using the Google Gemini API, with a focus on **counting pedestrians**, **detecting objects**, **tracking movement**, and **analyzing surveillance footage**. It supports precise promptin…
- Counting pedestrians, vehicles, or other objects in surveillance videos
- Distinguishing between different types of objects (walkers vs cyclists, cars vs trucks)
- Analyzing traffic patterns and movement through a scene
- Processing multiple videos for batch object counting
- Extracting structured count data from video footage
When not to use
- Counting accuracy depends on video quality, camera angle, and object size/distance
- Very crowded scenes may have higher counting variance
- Occlusion (objects blocking each other) can affect accuracy
- Long videos require longer processing times (typically 5-30 seconds per video)
- The model may occasionally misclassify similar objects (e.g., motorcyclist as cyclist)
- For highest accuracy, use clear prompts with explicit inclusion/exclusion criteria
Skill page
Source
| Repository | Path |
|---|
| benchflow-ai/skillsbench | tasks-extra/pedestrian-traffic-counting/environment/skills/gemini-count-in-video/SKILL.md |