datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
mechanical-head-mouth-calibration
Mechanical Head Mouth Calibration Dataset
This dataset accompanies the paper Automated Synthesis of Facial Mechanisms for Conversational Animatronic Robots.
It contains 4993 aligned samples captured from a mechanical head mouth system. Each sample consists of:
one monocular camera image
raw paired PWM motor commands
normalized motor commands
MediaPipe mouth/jaw blendshape coefficients
normalized mouth-region landmark coordinates
Dataset Structure
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+-- README.md… See the full description on the dataset page: https://huggingface.co/datasets/Zzz0918/mechanical-head-mouth-calibration.HareSkip-calibration
HareSkip Calibration Dataset
1. Summary
This dataset contains all images and measurements generated during a July–September 2026 recalibration and method-comparison experiment for HareSkip, a step-skipping inference-acceleration extension for DiT-based image diffusion, implemented on top of Forge neo (repository: Rootport-AI/forge-neo-Anima-HareSkip).
The experiment measured how much visual damage results from skipping specific denoising steps, across single-step… See the full description on the dataset page: https://huggingface.co/datasets/Rootport/HareSkip-calibration.opens2v-calibration
OpenS2V calibration manifest
This directory contains a small normalized calibration subset sourced from
BestWishYsh/OpenS2V-5M.
It is intended to prototype AutoRound diffusion T2V and I2V calibration without
requiring the full 11 TB upstream dataset.
Format
output/opens2v_calibration.tsv uses AutoRound's normalized schema:
id: stable upstream sample identifier
caption: metadata.face_cap_qwen, falling back to metadata.cap[0]
image: relative path to a reference… See the full description on the dataset page: https://huggingface.co/datasets/changwangss/opens2v-calibration.camera_calibrationDataset for testing camera calibration
doc_calibration_datasetopens2v-calibration
OpenS2V calibration manifest
This directory contains a small normalized calibration subset sourced from
BestWishYsh/OpenS2V-5M.
It is intended to prototype AutoRound diffusion T2V and I2V calibration without
requiring the full 11 TB upstream dataset.
Format
output/opens2v_calibration.tsv uses AutoRound's normalized schema:
id: stable upstream sample identifier
caption: metadata.face_cap_qwen, falling back to metadata.cap[0]
image: relative path to a reference… See the full description on the dataset page: https://huggingface.co/datasets/jia0160/opens2v-calibration.pix2pix-visual-calibrationOE_LA_Calibration_datawide-camera-calibrationcard-calibration-v1-data
Card Calibration Dataset (v1)
255 hand-collected photos of color calibration cards, with augmentations,
YOLO annotations, and extracted feature crops.
Used to train jeffliulab/card-calibration-v1.
Live demo: jeffliulab/card-calibration-v1 Space.
Contents
Archive
Files
Description
raw_photos.tar.gz
255
Original hand-collected photos
augmented_images.tar.gz
2,294
Albumentations-augmented variants (brightness/hue/blur/etc)
feature_crops.tar.gz9,154… See the full description on the dataset page: https://huggingface.co/datasets/jeffliulab/card-calibration-v1-data.screenspotpro-calibration-256VLM_Calibration_10kVLM_CalibrationColmap_calibrationcalibration-dataset-derm_llava