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provider
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7 values
tier_gb
int64
50
12k
monthly_usd
float64
0.99
60
annual_usd
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ten_year_usd
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bundled
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2 values
verified
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Apple iCloud+
50
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0.0198
119
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Apple iCloud+
200
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359
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yes
Apple iCloud+
2,000
9.99
null
0.005
1,199
no
yes
Apple iCloud+
6,000
29.99
null
0.005
3,599
no
yes
Apple iCloud+
12,000
59.99
null
0.005
7,199
no
yes
Google One
100
1.99
19.99
0.0199
200
no
list
Google One
200
2.99
29.99
0.015
300
no
list
Google One
2,000
9.99
99.99
0.005
1,000
no
list
Google One
5,000
24.99
249.99
0.005
2,500
no
list
Microsoft 365
100
1.99
19.99
0.0199
200
no
yes
Microsoft 365
1,000
9.99
99.99
0.01
1,000
yes
yes
Microsoft 365
6,000
12.99
129.99
0.0022
1,300
yes
yes
Dropbox
2,000
11.99
119.88
0.006
1,199
no
list
Dropbox
3,000
19.99
199
0.0067
1,990
no
list
Amazon
100
1.99
19.99
0.0199
200
no
list
Amazon
1,000
6.99
59.99
0.007
600
no
list
Amazon
2,000
11.99
119.98
0.006
1,200
no
list
Proton Drive
200
4.99
47.88
0.0249
479
no
list
Box
100
10
120
0.1
1,200
no
yes

Cleanor Storage Lab

Reproducible benchmarks and open datasets on image compression (JPEG / WebP / AVIF / JPEG XL), the HEIC-to-JPG size tax, cloud storage price per GB, and phone storage capacity.

Every number is generated by a script you can re-run yourself. Image benchmarks run on the Kodak and public high-resolution phone-photo corpora, encoded with libvips/sharp, libjxl and libheif, and scored with SSIM + PSNR against the lossless master.

Highlights

  • At identical perceptual quality (SSIM 0.95), AVIF is ~41% smaller than JPEG and WebP ~13% smaller.
  • Converting a HEIC photo corpus to JPG at matched quality makes it ~2.5x bigger; to PNG, ~5.5x bigger.

Files

File What it is
compression-benchmark.csv Per-image JPEG/WebP/AVIF size + SSIM/PSNR across quality levels
heic-tax-benchmark.csv HEIC vs matched JPG/PNG size at equal quality
nextgen-formats-benchmark.csv JPEG XL vs AVIF/WebP
cloud-price-index.csv Consumer cloud storage $/GB by provider and tier
photo-storage-capacity.csv How many photos fit per GB at common resolutions

Sources & docs

License

Data: CC BY 4.0 (attribution required). Code in the source repo: MIT.

Citation

Cleanor Labs. Storage Lab: Open Image-Compression & Cloud-Storage Datasets. 2026. https://cleanor.app/research

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