datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Mobile-O-Post-Train
Mobile-O Post-Training Data
Unified Multimodal Post-Training · ~105K Quadruplet Samples
📌 Overview
This dataset is used for Stage 3: Unified Multimodal Post-Training of Mobile-O, a unified multimodal model for on-device understanding and generation.
The goal of this stage is to jointly improve both image generation and visual understanding through a multi-task objective using quadruplet samples.
📊 Dataset Format
Each sample is a quadruplet consisting of:… See the full description on the dataset page: https://huggingface.co/datasets/Amshaker/Mobile-O-Post-Train.OmniPSD_Layered_Postermulti-target-spacecraft-pose-estimation
Multi-target Synthetic Dataset for Spacecraft Pose Estimation
Overview
This dataset was developed for 6D pose estimation of unseen, non-cooperative spacecraft in proximity-operations scenarios. Most existing datasets focus on a single target, which leads models to overfit to a specific spacecraft and limits their ability to generalize to previously unseen targets.
To address this limitation, the present dataset is multi-target and includes a wide variety of spacecraft… See the full description on the dataset page: https://huggingface.co/datasets/lorenzobottelli/multi-target-spacecraft-pose-estimation.wds_vtab-dsprites_label_x_positionwds_vtab-dsprites_label_y_positioncamera_posetun3d_s3dis_posed_imageswds_vtab-dsprites_label_y_position_test
dSprites Y Position (Test set only)
Original paper: beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework
Homepage: https://github.com/deepmind/dsprites-dataset
Bibtex:
@misc{dsprites17,
author = {Loic Matthey and Irina Higgins and Demis Hassabis and Alexander Lerchner},
title = {dSprites: Disentanglement testing Sprites dataset},
howpublished= {https://github.com/deepmind/dsprites-dataset/},
year = "2017",
}
wds_dsprites_label_x_positionwds_dsprites_label_y_positioncamera_pose_editwds_vtab-dsprites_label_x_position_test
dSprites X Position (Test set only)
Original paper: beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework
Homepage: https://github.com/deepmind/dsprites-dataset
Bibtex:
@misc{dsprites17,
author = {Loic Matthey and Irina Higgins and Demis Hassabis and Alexander Lerchner},
title = {dSprites: Disentanglement testing Sprites dataset},
howpublished= {https://github.com/deepmind/dsprites-dataset/},
year = "2017",
}
pose_can_dataset