datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
types-of-film-shots
What a Shot!
2,919 film frames labeled with shot scale (8 classes), from film-grab.com.
annotator
count
how labeled
human
863
hand-labeled (gold)
ai
2,056
DINOv2 classifier; low-confidence frames re-judged by Claude Opus (active learning)
Columns
image, label — ambiguous, closeUp, detail, extremeLongShot, fullShot, longShot, mediumCloseUp, mediumShot
annotator — human or ai
source — human / v2_highconf / opus_review / opus_resolved_amb… See the full description on the dataset page: https://huggingface.co/datasets/szymonrucinski/types-of-film-shots.corruption-shot_noise
Corruption Dataset: Shot_Noise
Dataset Description
This dataset contains corrupted versions of ImageNet-1K images using shot_noise corruption. It is part of the ImageNet-C benchmark for evaluating model robustness to common image corruptions.
Dataset Structure
Train: 1,281,167 corrupted images
Validation: 50,000 corrupted images
Classes: 1000 ImageNet-1K classes
Format: Arrow (Hugging Face Datasets)
Corruption Type: Shot_Noise
Adds shot noise… See the full description on the dataset page: https://huggingface.co/datasets/MarMaster/corruption-shot_noise.Cifar10Mnist
Cifar10Mnist Dataset Card
Dataset Summary
Cifar10Mnist is a synthetic image dataset created by overlaying MNIST digit images on top of CIFAR-10 images. Each example contains a 32x32 RGB image and a paired label tuple: the original CIFAR-10 class name plus the MNIST digit label.
Supported Tasks
Image classification
Multi-label classification
Transfer learning
Synthetic data research
Languages
Not language-specific… See the full description on the dataset page: https://huggingface.co/datasets/shotegni/Cifar10Mnist.types-of-film-shots
What a shot!
Data set created by Szymon Ruciński. It consists of ~ 1000 images of different movie shots precisely labeled with shot type. The data set is divided into categories: detail, close-up, medium shot, full shot and long shot, extreme long shot. Data was gathered and labeled on the platform plan-doskonaly.netlify.com created by Szymon. The data set is available under the Creative Commons Attribution 4.0 International license.