VFX Atlas
M 042 / 18302 Masks & Controlschematic / technique preview

Instance Segmentation

segmentation, masks & control

Typeface · Karla

Schematic or classical approach — not a trained AI model output.
Schematic or classical approach — not a trained AI model output.Image: NASA / Eileen Collins · scikit-image (public domain)View source ↗

Prompt

Apply an Instance Segmentation effect, covering each separate visible object with its own translucent, brightly colored mask and matching crisp outline. Give different objects distinct colors even when they belong to the same category, retaining faint photographic detail beneath the overlays. Keep the original subject and composition.

Paste it into LetzAI with your own image to apply the effect ↗

Identify

Object outlines are individually colored.

Principle

Instance segmentation1 distinguishes between multiple objects of the same class.

Try it out

Look for areas with overlap.

Classification

Schematic visualization, not neural inference2.

Further examples · 7 images

GigaMesh Screenshot 20190514 Salmanasssar III Tablet Fragment
02 GigaMesh Screenshot 20190514 Salmanasssar III Tablet FragmentA cuneiform tablet fragment is displayed with individual wedge-shaped characters highlighted in distinct colors. The software uses these colors to distinguish between multiple separate instances of the same character type across the surface.Enki75 · CC BY-SA 4.0 · Wikimedia Commons
AI illustration: A busy street scene shows pedestrians and vehicles with unique color mask
03 AI illustration: A busy street scene shows pedestrians and vehicles with unique color maskA busy street scene shows pedestrians and vehicles with unique color masks and glowing outlines. The distinct coloring of adjacent cars and people successfully demonstrates the isolation of individual instances within the same class.Illustration generated for the Atlas (AI)
AI illustration: Red cans on store shelves are outlined with different colors to distingui
04 AI illustration: Red cans on store shelves are outlined with different colors to distinguiRed cans on store shelves are outlined with different colors to distinguish each unit. This illustrates the ability of instance segmentation to separate identical objects arranged in a dense grid.Illustration generated for the Atlas (AI)
AI illustration: A blue architectural plan displays various pedestrians as solid colored s
05 AI illustration: A blue architectural plan displays various pedestrians as solid colored sA blue architectural plan displays various pedestrians as solid colored silhouettes. Each person is assigned a specific color, showing the mapping of individual instances across a wide spatial layout.Illustration generated for the Atlas (AI)
AI illustration: A school of fish is depicted with each fish rendered in a different solid
06 AI illustration: A school of fish is depicted with each fish rendered in a different solidA school of fish is depicted with each fish rendered in a different solid color. This highlights how instance segmentation manages overlapping boundaries between multiple moving objects of the same species.Illustration generated for the Atlas (AI)
AI illustration: A camera sensor analyzes a fruit bowl, applying distinct masks to every g
07 AI illustration: A camera sensor analyzes a fruit bowl, applying distinct masks to every gA camera sensor analyzes a fruit bowl, applying distinct masks to every grape and piece of fruit. The different colors for each grape demonstrate the high granularity of individual object detection.Illustration generated for the Atlas (AI)