datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
fastwam-lerobotImageNet-C-jpeg_compression-severity_5TPMS_CompressionTestscompression-eval-datasets
Compression Evaluation Datasets
Common test sets for learned image compression evaluation, packaged for easy download.
Contents
Folder
Description
Images
Size
kodak/
Kodak PhotoCD (kodim01–kodim24)
24
~15MB
tecnick/
Tecnick RGB test images (1200×1200)
40
~66MB
clic2021_valid/
CLIC professional validation images (local folder name: CLIC2021_valid)
41
~129MB
Download
# Full dataset
hf download SCU-VIP-Lab/compression-eval-datasets… See the full description on the dataset page: https://huggingface.co/datasets/SCU-VIP-Lab/compression-eval-datasets.svs-lame-compression-jpeg-vs-neural
Comparaison visuelle : compression neuronale vs JPEG sur lames histopathologiques
Ce dataset permet à un anatomopathologiste de juger à l'œil nu si une image
de lame numérique compressée par un réseau de neurones est visuellement
équivalente à la même lame compressée en JPEG (qui est le standard)
En une phrase
On a pris 5 lames histopathologiques au format SVS, on les a compressées avec
4 modèles neuronaux et avec JPEG Q75, à
deux niveaux d'agressivité (q5 ≈… See the full description on the dataset page: https://huggingface.co/datasets/nathbns/svs-lame-compression-jpeg-vs-neural.vision-token-compression-bench
OPTIC-Bench
Optical Text In-Context Benchmark: how reliably do LLMs consume text
delivered as rendered images versus plain text tokens?
In summary, the evaluation reported here finds that optical text compression
is effective only within a narrow and specific envelope. Delivering content
as rendered images genuinely reduces input tokens, by thirteen to
fifty-four per cent depending on the model and the language, but only when
the document is long, the rendering is dense and the… See the full description on the dataset page: https://huggingface.co/datasets/translorentz/vision-token-compression-bench.ImageNet-C-jpeg_compression-severity_4blender_foundation_open_movies_compression_decompression
Introduction
This is a dataset for the task of super video decompression, a subset of the super resolution task. Usually Super Resolution models try to bump the resolution 2x or 4x starting from a fullhd picture, which is already a format rich in data and usually with little noise, in fact many people can barely see the difference in quality between a fullhd and a 4k picture. In many works synthetic datasets are created by adding gaussian noise or JPG compression, simulating the… See the full description on the dataset page: https://huggingface.co/datasets/Fransferdy/blender_foundation_open_movies_compression_decompression.ImageNet-C-jpeg_compression-severity_1ImageNet-C-jpeg_compression-severity_3ImageNet-C-jpeg_compression-severity_2vtab_flowers102_compressionphoto_compressioncoco-c-jpeg-compression