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New: GPT Image 2.5 Flare and Sunburst. Try them free with 3 images on sign-up, then 8 credits each.
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Image studio
Model
GPT IMAGE 2
Prompt
732 / 1,000
Using the reference photo as the source geography and urban layout, transform the monochrome aerial photograph into a clean false-color land-cover classification map. Maintain the identical top-down orthographic viewpoint and street/block structure, replacing photographic texture with flat segmented vector-style regions and crisp boundaries. Classify the scene into 6 categories: [buildings as red], [roads and paved corridors as white], [water bodies and canals as blue], [dense vegetation and parks as dark green], [open grass or sparse green areas as light green], and [industrial or open paved facility areas as gray]. High-contrast thematic cartography, flat shading, with no labels, text, legends, borders, or film markings.
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Reference
0 / 16
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PNG, JPG, WebP · 50 MB
Aspect Ratio
Auto
Quality
Medium
Resolution
1K
Number of Images
1 / 4
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