gemini-count-in-video
Analyze and count objects in videos using Google Gemini API (object counting, pedestrian detection, vehicle tracking, and surveillance video analysis).
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install benchflow-ai-skillsbench-gemini-count-in-video
Repository
Skill path: tasks_no_script/pedestrian-traffic-counting/environment/skills/gemini-count-in-video
Analyze and count objects in videos using Google Gemini API (object counting, pedestrian detection, vehicle tracking, and surveillance video analysis).
Open repositoryBest for
Primary workflow: Ship Full Stack.
Technical facets: Full Stack, Backend.
Target audience: everyone.
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: benchflow-ai.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install gemini-count-in-video into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/benchflow-ai/SkillsBench before adding gemini-count-in-video to shared team environments
- Use gemini-count-in-video for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.