Try NVIDIA NIM APIs

Search Results

Searching for: optical character detection

Sorting by Most Recent

Cutting-edge vision-language model exceling in retrieving text and metadata from images.

Industry leading jailbreak classification model for protection from adversarial attempts

Context-aware chart extraction that can detect 18 classes for chart basic elements, excluding plot elements.

Model for object detection, fine-tuned to detect charts, tables, and titles in documents.

Model for table extraction that receives an image as input, runs OCR on the image, and returns the text within the image and its bounding boxes.

Advanced AI model detects faces and identifies deep fake images.

Generates consistent characters across a series of images without requiring additional training.

Robust image classification model for detecting and managing AI-generated content.

Grounding dino is an open vocabulary zero-shot object detection model.

Creates diverse synthetic data that mimics the characteristics of real-world data.

OCDNet and OCRNet are pre-trained models designed for optical character detection and recognition respectively.

EfficientDet-based object detection network to detect 100 specific retail objects from an input video.