datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
bert-text-classificationbanana-disease-classificationBanana Disease Recognition Dataset
Introduction:
The Banana Disease Recognition Dataset is a collection of images aimed at facilitating research and development in the field of banana disease detection and classification. This dataset contains a total of 777 images, with 700 images designated for training and 77 images for testing. The dataset encompasses six classes of banana diseases and one class for healthy banana leaves. Each class consists of 100 training images and 11 testing images… See the full description on the dataset page: https://huggingface.co/datasets/as-cle-bert/banana-disease-classification.bert_token_classificationhd-bert-voicephishing-binary-classification-ver4Classification_bert_datasetbert_token_classification_augmentedhd-bert-voicephishing-binary-classification-ver3hd-bert-voicephishing-binary-classification-ver5advertisement_cap_on_banner_classification_bert_dataset
Advertisement Cap on Banner Classification
Description: Automatically classify and assign appropriate advertisement cap to banners to streamline manufacturing and delivery processes.
How to Use
Here is how to use this model to classify text into different categories:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model_name = "interneuronai/advertisement_cap_on_banner_classification_bert"
model =… See the full description on the dataset page: https://huggingface.co/datasets/interneuronai/advertisement_cap_on_banner_classification_bert_dataset.NLP_BERT_news_classificationBert-classification-wellness