An aviation traffic control speech recognition model fine-tuned based on the OpenAI Whisper Large v3 model, specifically optimized for ATC communication scenarios. It achieved a word error rate of 6.5% on the test set, significantly improving the accuracy of aviation communication transcription.

Audio ProcessingTransformersEnglish

A professional license plate detection and recognition system fine-tuned based on Microsoft's Florence-2 Large model. It can locate the license plate area in vehicle images through bounding boxes and accurately extract license plate text information using OCR technology. It is suitable for scenarios such as traffic monitoring and parking management.

Computer VisionTransformersEnglish

Fine-tuned based on the OpenAI Whisper Medium EN model, specifically optimized for speech recognition of air traffic control communications, with an 84% reduction in word error rate

Audio ProcessingSafetensorsEnglish

A speech recognition model fine-tuned based on OpenAI Whisper Medium EN, specifically optimized for Air Traffic Control (ATC) communication scenarios, achieving an 84% reduction in Word Error Rate (WER)

Vision Transformer (ViT)-based traffic sign recognition model with approximately 94% accuracy

Computer VisionTransformers

A speech recognition model fine-tuned based on OpenAI Whisper-large-v3, specializing in Air Traffic Control (ATCO) scenarios with a word error rate of 17.04%

Audio ProcessingTransformers

A speech recognition model fine-tuned on the UWB-ATCC Air Traffic Control Communication dataset based on the facebook/wav2vec2-large-960h-lv60-self model

Audio ProcessingTransformersEnglish

An air traffic control speech recognition model fine-tuned on wav2vec2-xls-r-300m, supporting English

Audio ProcessingTransformersEnglish

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the ATCOSIM corpus, specifically designed for automatic speech recognition tasks in air traffic control communications.

Audio ProcessingTransformersEnglish