datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
rendered-sst2
Rendered SST-2
The Rendered SST-2 Dataset from Open AI.
Rendered SST2 is an image classification dataset used to evaluate the models capability on optical character recognition. This dataset was generated by rendering sentences in the Standford Sentiment Treebank v2 dataset.
This dataset contains two classes (positive and negative) and is divided in three splits: a train split containing 6920 images (3610 positive and 3310 negative), a validation split containing 872 images (444… See the full description on the dataset page: https://huggingface.co/datasets/nateraw/rendered-sst2.rightwayup-renders
RightWayUp training renders
The 3,586 Blender renders that ORTUS AI made from Poly Haven assets for training
RightWayUp, plus the 791 renders used in its held-out clean scene test.
Every image has a known roll, taken from the Blender camera.
The renders are a small part of RightWayUp's training data: 3,579 of about 1.24 million images (under 0.3%). The rest
are photos, scans and CCTV frames, listed in the data card.
We added the renders to make the model more robust on… See the full description on the dataset page: https://huggingface.co/datasets/ortusai/rightwayup-renders.