ImageNet (ILSVRC2012) — 1024×1024 resized variant.

ImageNet (ILSVRC2012) is a large-scale image classification dataset organized according to the WordNet hierarchy. The standard ImageNet-1k (ILSVRC) split contains 1,000 classes with roughly 1.2–1.3M training images and 50K validation images. In image generation literature the term “ImageNet 1024x1024” typically denotes the ImageNet-1k images resized (or center-cropped/resampled) to 1024×1024 resolution for high-resolution synthesis and evaluation. Common evaluation practice (used by many generative-model papers) is to generate 50,000 images (50 samples per each of the 1000 classes) and compute FID against the ImageNet training set at the target resolution.

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Other Image generation datasets on Codesota.

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