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tga192 KB

TGA — Truevision Test Image

A 256×256 fruit still-life image saved as uncompressed Truevision TGA — a format common in games and 3D texturing. For testing TGA decoders and conversion to modern formats.

Rendered preview of TGA — Truevision Test Image

Rendered preview of the tga file (192 KB). Download above for the original.

Specifications

Format
TGA (Truevision)
Width
256
Height
256
Mode
RGB
Compression
none

What is a .tga file?

TGA (Truevision Targa) is a raster format supporting 8- to 32-bit pixels with optional run-length encoding and an alpha channel. Long used in video, gaming, and 3D texturing, it stores simple uncompressed or RLE-compressed image data. It remains common as a texture and intermediate format.

How to use this file

Use an example TGA to test texture loaders in game and 3D pipelines, RLE decompression, and converters that read Targa alpha and orientation flags.

How to use this file for testing

“TGA — Truevision Test Image” is a deterministic Novus Examples fixture for Conversion testing. The same content exported across many formats and linked as a group, so you can convert one and diff against the expected twin.

Documented properties for this file: 256×256 · TGA (Truevision). Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.

For image AI or enhancement tools, run the model or filter on this file and diff against the clean or ground-truth companion in the same group when available. Keep seeds and documented damage parameters in your evaluation notes so regressions are attributable.

Code examples

<img src="testcard.tga" alt="Example image" width="640" loading="lazy">

Generated by generation/images_formats2.py. Free for any use, no attribution required — license.