Omkar2118/datasets huggingface dataset:
Market-1501-C
Full name: Market-1501-C

**Market-1501-C** is an evaluation set that consists of algorithmically generated corruptions applied to the Market-1501 test-set.  These corruptions consist of Noise: Gaussian, shot,
impulse, and speckle; Blur: defocus, frosted glass, motion, zoom, and Gaussian; Weather: snow, frost, fog, brightness, spatter, and rain; Digital: contrast, elastic, pixel, JPEG compression, and saturate. Each corruption has five severity levels, resulting in 100 distinct corruptions.

Introducing paper: Benchmarks for Corruption Invariant Person Re-identification
MSMT17-C
Full name: MSMT17-C

**MSMT17-C** is an evaluation set that consists of algorithmically generated corruptions applied to the MSMT17 test-set.  These corruptions consist of Noise: Gaussian, shot,
impulse, and speckle; Blur: defocus, frosted glass, motion, zoom, and Gaussian; Weather: snow, frost, fog, brightness, spatter, and rain; Digital: contrast, elastic, pixel, JPEG compression, and saturate. Each corruption has five severity levels, resulting in 100 distinct corruptions.

Introducing paper: Benchmarks for Corruption Invariant Person Re-identification
CUHK03-C
Full name: CUHK03-C

**CUHK03-C** is an evaluation set that consists of algorithmically generated corruptions applied to the CUHK03 test-set.  These corruptions consist of Noise: Gaussian, shot,
impulse, and speckle; Blur: defocus, frosted glass, motion, zoom, and Gaussian; Weather: snow, frost, fog, brightness, spatter, and rain; Digital: contrast, elastic, pixel, JPEG compression, and saturate. Each corruption has five severity levels, resulting in 100 distinct corruptions.

Introducing paper: Benchmarks for Corruption Invariant Person Re-identification
SYSU-MM01-C
Full name: SYSU-MM01-C

**SYSU-MM01-C** is an evaluation set that consists of algorithmically generated corruptions applied to the SYSU-MM01 test-set.  These corruptions consist of Noise: Gaussian, shot,
impulse, and speckle; Blur: defocus, frosted glass, motion, zoom, and Gaussian; Weather: snow, frost, fog, brightness, spatter, and rain; Digital: contrast, elastic, pixel, JPEG compression, and saturate. Each corruption has five severity levels, resulting in 100 distinct corruptions.

Introducing paper: Benchmarks for Corruption Invariant Person Re-identification