datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Optimized_Video_Facial_Landmarks
Dataset Card for 478-Point Normalized 3D Facial Landmark Dataset
Dataset Description
This dataset provides pre-extracted, normalized 3D facial landmark features derived from the Video Emotion dataset. It is optimized for efficient training of emotion recognition and facial analysis models, bypassing the need to process large raw video files.
License: The extracted feature data in this Parquet file is licensed under Apache 2.0. Note that the original source video files may… See the full description on the dataset page: https://huggingface.co/datasets/PSewmuthu/Optimized_Video_Facial_Landmarks.Optimal-31
Dataset Card for "Optimal-31"
Licensing Information
[No license for now, cite the paper below.]
Citation Information
Scene classification with recurrent attention of VHR remote sensing images
@article{wang2018scene,
title = {Scene classification with recurrent attention of VHR remote sensing images},
author = {Wang, Qi and Liu, Shaoteng and Chanussot, Jocelyn and Li, Xuelong},
year = 2018,
journal = {IEEE Transactions on… See the full description on the dataset page: https://huggingface.co/datasets/jonathan-roberts1/Optimal-31.fiber-optic-drones
Fiber-Optic Drones (full release)
2,260 images + 8,759 bounding boxes + 5,114 verified detections for fiber-optic drone object detection. Image bytes are inlined so you can load_dataset() and start training immediately.
If you only want labels (no pixels, fully redistributable), see the sister dataset:
waltgrace/fiber-optic-drones-labels.
What's in here
2,260 images bundled inline (~309 MB Parquet)
8,759 bounding boxes (Falcon Perception)
5,114 boxes (58%)… See the full description on the dataset page: https://huggingface.co/datasets/waltgrace/fiber-optic-drones.fiber-optic-drones-labels
Fiber-Optic Drones — Labels Only
Bounding-box annotations for 2,260 fiber-optic-drone candidate images, with VLM verification verdicts. No image pixels are included — only labels and metadata. This is the zero-redistribution-risk release.
If you want the labels with the original images, see the sister dataset:
waltgrace/fiber-optic-drones.
What's in here
2,260 images
8,759 bounding boxes (Falcon Perception)
5,114 boxes (58%) verified YES by Qwen 2.5-VL-3B
5… See the full description on the dataset page: https://huggingface.co/datasets/waltgrace/fiber-optic-drones-labels.Deepfake-QA-10K-OPT
Deepfake Quality Assessment
Deepfake QA is a Deepfake Quality Assessment model designed to analyze the quality of deepfake images & videos. It evaluates whether a deepfake is of good or bad quality, where:
0 represents a bad-quality deepfake
1 represents a good-quality deepfake
This classification serves as the foundation for training models on deepfake quality assessment, helping improve deepfake detection and enhancement techniques.
Citation… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Deepfake-QA-10K-OPT.