datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cnn-based-drowsiness-detection-data
CNN-Based Drowsiness Detection - Dataset
Preprocessed, auto-labeled face-crop images used to train the model in
notgoodkeeper/cnn-based-drowsiness-detection.
Code: https://github.com/not-good-keeper/cnn-based-drowsiness-detection
Collection
Frames were captured from a webcam, then run through:
Haar Cascade face detection -> crop + pad + resize to 412x412
MediaPipe Selfie Segmentation -> background replaced with white
CLAHE contrast normalization -> grayscale… See the full description on the dataset page: https://huggingface.co/datasets/notgoodkeeper/cnn-based-drowsiness-detection-data.cnn_muffins
CNN Muffins
A compact dog-versus-muffin image-classification dataset built around the
well-known visual confusion between Chihuahua faces and blueberry muffins.
Dataset structure
Split
Dogs
Muffins
Total
Train
319
161
480
Validation
36
18
54
Hard-16 benchmark
8
8
16
The hard-16 benchmark is isolated from train and validation. The JSONL files
use repository-relative image paths:
The benchmark labels follow the original 4x4 checkerboard layout… See the full description on the dataset page: https://huggingface.co/datasets/VatsaDev/cnn_muffins.