datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Food121
Dataset Details
Dataset Description
This dataset is the combination of the Food101, Indian Food Classification and The-massive-Indian-Food-Dataset datasets.
This Dataset aims to be a viable dataset for Image Classification of Foods with an added Indian context. This dataset has 121 classes with each class having 800 images in the train split and 200 images in the test split. Maximum resolution of images is 512*512.
The Food121-224 dataset has all images downscaled to a… See the full description on the dataset page: https://huggingface.co/datasets/ItsNotRohit/Food121.Food121-224
Dataset Details
Dataset Description
This dataset is the downscaled version of the Food121 dataset. All images are downscaled to a maximum of 224*224.
This dataset is the combination of the Food101, Indian Food Classification and The-massive-Indian-Food-Dataset datasets.
This Dataset aims to be a viable dataset for Image Classification of Foods with an added Indian context. This dataset has 121 classes with each class having 800 images in the train split and 200 images in… See the full description on the dataset page: https://huggingface.co/datasets/ItsNotRohit/Food121-224.ITSC
ITSC
Park-vector current loci of a three-phase induction motor, as a four-class stator
winding task: normal / phase_A / phase_B / phase_C. 183 records.
reasoning is empty here; the twin repo ITSC-annotated is identical except that field is filled.
The reading
Both coordinates are divided by the radius of the equal-area circle, so that circle is
the 1.0 ring on every image and the tick numbers carry no current amplitude at all. Two
steps, and both are drawn on… See the full description on the dataset page: https://huggingface.co/datasets/AI4Manufacturing/ITSC.ITSC-perception
Roles
Roles: perception view of ITSC — annot is the source label (normal / phase_A / phase_B / phase_C), kept machine-parseable as the gold for verification and reward parsing; the model reads query + image, where the repo ships an induction motor's stator-current magnitude in four image encodings as four equal-sized configs — reshaped (consecutive samples arranged as the rows of a grayscale square), scalogram (a continuous-wavelet time-scale view), spectrogram (a short-time… See the full description on the dataset page: https://huggingface.co/datasets/AI4Manufacturing/ITSC-perception.ITSC-annotated
ITSC-annotated
Park-vector current loci of a three-phase induction motor, as a four-class stator
winding task: normal / phase_A / phase_B / phase_C. 183 records.
reasoning is filled on every record; the twin repo ITSC is identical except that field is empty.
The reading
Both coordinates are divided by the radius of the equal-area circle, so that circle is
the 1.0 ring on every image and the tick numbers carry no current amplitude at all. Two
steps, and both are… See the full description on the dataset page: https://huggingface.co/datasets/AI4Manufacturing/ITSC-annotated.