kubric: Synthetic Video Data
From the repo · “A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.”
Kubric generates semi-realistic videos for training computer vision models, allowing founders to create custom datasets for their AI models
- •You need to train a computer vision model with a custom dataset
- •You want to generate videos with specific objects, scenes, or actions for model training
- •You need to augment existing datasets with synthetic videos to improve model performance
python examples/simple_scene.py --num_frames 100 --output_dir /tmp/simple_scene
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/kubric && curl -fsSL https://workflowstacks.com/api/skills/kubric/claude-skill -o ~/.claude/skills/kubric/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
What's inside — free to inspect
Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/kubric && curl -fsSL https://workflowstacks.com/api/skills/kubric/claude-skill -o ~/.claude/skills/kubric/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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