Test suite for GIF containing images using rarely used features

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The specifications (plural, since there are versions 87a and 89a) of the GIF graphics format are easy to find in the internet (for those who don't want to google:

As you can see in the specification GIF has support for some features that I have never seen used; I only want to give two examples (for simplicity from GIF 89a): - Plaintext extension: on http://www.vias.org/pngguide/chapter11_15.html there is a little bit more detailed documentation - Pixel Aspect Ratio: see section 18. Logical Screen Descriptor. of GIF 89a specification

On the other hand, for PNG there seem to be lots of test images available: http://www.libpng.org/pub/png/pngmisc.html (scroll down); the most common one is the official PNG test suite http://www.schaik.com/pngsuite/ that is also mirrored at http://www.libpng.org/pub/png/pngsuite.html.

What I am looking for is a test suite of GIF images that also/especially contains images using features that are rarely used or often implemented in a wrong way.

The best results that I could find in the internet are the following:

So I could find nothing fullfilling the above stated criterion of a test suite of GIF images also/especially containing features that are rarely used or often implemented in a wrong way.

So: do you know of such a test suite?

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I was searching for the same thing and came across this page:

http://code.google.com/p/imagetestsuite/

It contains test suites for PNG/GIF/JPEG/TIFF created so that they try to achieve maximum amount of code coverage with the least amount of images based on the open source decoder code-bases. The idea seems good, but I have not yet had time to check out the actual images.

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I found this question and didn't find anything comprehensive that I could use. So I wrote PyGIF and made it generate a test suite of GIF images.

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Gifsicle is pushing Gif to its limits. I've got an image that exposes decoding bug in OS X.

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I maintain a collection of test images for several file formats here:

https://github.com/drewnoakes/metadata-extractor-images

It contains those from the ImageTestSuite mentioned in Leo's answer, along with others from various contributors over the years.