ds-nlp-cv-pipeline

What problem does it solve?

Assists users in building end-to-end NLP and computer vision pipelines by turning unstructured text and images into meaningful numerical representations and ready-to-use insights.

Core Features & Use Cases

• Natural Language Processing: text classification, NER, sentiment analysis, tokenization, embeddings, and topic modeling.
• Computer Vision: image classification, object detection, transfer learning, and data augmentation.
• Use Case: Assemble a pipeline that processes a text corpus and a set of images to generate labeled outputs and evaluation metrics using pretrained models and common libraries.

Quick Start

Create an end-to-end NLP and CV pipeline using pretrained models to classify text and images.