How to Train DETR Object Detection Models with Any Dataset
Автор: VisionBrick
Загружено: 2025-11-13
Просмотров: 206
When it comes to object detection, there are popular models like YOLO, Faster R-CNN, SSD, Retinanet, and these models are solely based on convolutional neural networks(CNN). Feature extraction is done by CNNs, and prediction is made by prediction heads. Well, DETR(DEtection TRansformer) doesn’t work like this. DETR still uses CNNs for feature extraction, but there are transformers in the core of DETR. There are additional encoders and decoders.
In this video, I will share a pipeline for training a DETR object detection model with any dataset.
You can find all the code and necessary files in my article:
https://visionbrick.com/pipeline-for-...
contact: siromermer@gmail.com
website: visionbrick.com
#OpenCV #python #objectdetection #computervision #deeplearning #detr #vit #transformers
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