datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
shot-boundary-detection
Shot Boundary Detection
Dataset Overview
This dataset supports research in shot boundary detection (SBD) by providing over 3.4 million uniformly structured 61-frame video clips. Each clip is centered on a key frame (the 31st), labeled as:
C (Cut): a direct shot boundary,
T (Transition): a gradual transition (e.g., fade, dissolve),
E (Empty): no boundary present.
Data is sourced from AutoShot, ClipShots, and crawled Pexels videos, with both real and synthetically… See the full description on the dataset page: https://huggingface.co/datasets/it-just-works/shot-boundary-detection.cricket-shot
CricketShotClassification Dataset
Dataset Description
This dataset is designed for video classification of cricket shots. It contains labeled videos of ten different cricket shots, making it suitable for training and evaluating machine learning models for cricket action recognition.
Dataset Structure
The dataset contains videos of ten cricket shots:
Shot Name
Label
Class ID
Cover Drive
cover
0
Defense Shot
defense
1
Flick Shot
flick
2
Hook Shot… See the full description on the dataset page: https://huggingface.co/datasets/rokmr/cricket-shot.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.one_shot_few_view