datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
wds_objectnetwds_imagenet_sketchwds_imagenet-rwds_imagenet-awds_imagenetv2hdr-demo-clips
HDR Demo Clips (Lightricks SDR→HDR)
Paired SDR (input) / HDR (output) frame sequences from the Lightricks SDR-to-HDR pipeline (IC-LoRA on LTX-2).
Each clip contains:
hdr_exr/frame_XXXXX.exr — HDR output (f16, linear Rec.709/sRGB primaries, scene-referred)
sdr_png/frame_XXXXX.png — SDR input (8-bit sRGB, display-referred)
thumbnail.jpg — 280px preview from the middle frame
Dimensions: HDR is symmetrically cropped from SDR to match model-friendly dimensions (typically 28–56px… See the full description on the dataset page: https://huggingface.co/datasets/oumoumad/hdr-demo-clips.wds_imagenet1kinstructpix2pix-clip-filtered
Dataset Card for InstructPix2Pix CLIP-filtered
Dataset Summary
The dataset can be used to train models to follow edit instructions. Edit instructions
are available in the edit_prompt. original_image can be used with the edit_prompt and
edited_image denotes the image after applying the edit_prompt on the original_image.
Refer to the GitHub repository to know more about
how this dataset can be used to train a model that can follow instructions.
Supported Tasks… See the full description on the dataset page: https://huggingface.co/datasets/timbrooks/instructpix2pix-clip-filtered.wds_fer2013wds_carswds_flickr30kwds_fgvc_aircraftwds_vtab-cifar10wds_vtab-eurosatwds_vtab-caltech101demo_openai_clip_index
CLIP index — demo_openai_clip
Precomputed image embeddings (openai/clip-vit-base-patch32) for the static Space
diegoolguinw/demo_openai_clip.
Current contents: 9000 images from the train split of
detection-datasets/coco.
(HF datasets cap a directory at 10 000 files, so thumbs/ stays below that.)
File
Description
embeddings.f16.bin
[N, 512] row-major float16, L2-normalized
metadata.json
index-aligned list: {id, file, thumb, width, height}
manifest.json
model, count… See the full description on the dataset page: https://huggingface.co/datasets/diegoolguinw/demo_openai_clip_index.Arabic_Flicker_8kwds_vtab-cifar100wds_sun397wds_vtab-petswds_food101wds_vtab-pcam22k_CLIP_Negitiveclip-worst-restored-realesrgancc12m_openai_clip-vit-base-patch32_image_image_retrieval_pairs_2022-09-13instructpix2pix-clip-filtered-upscaledwds_mscoco_captionswds_mnistclip-cross-eyed-dataAmharicCLIP-annotation
AmharicCLIP Annotation Dataset
69,629 images organized by category for Amharic caption annotation.
Structure
images/
animals10/ 18,644 images — 10 animal classes
cat/
dog/
horse/ ...
intel/ 11,998 images — 6 scene classes
forest/
mountain/ ...
fruits360/ 38,987 images — 131 fruit classes
apple/
banana/ ...
Image URL Format… See the full description on the dataset page: https://huggingface.co/datasets/CLIPAMharic/AmharicCLIP-annotation.