What is DETR?

Detection Transformer (DETR) is an end-to-end object detection model implemented using the Transformer architecture.

About the model

Here is an overview of the

DETR

model:

Date of Release
Model Type Object Detection
Architecture Transformers
Framework Used PyTorch
Annotation Format COCO JSON
Stars on GitHub 10700+

Detection Transformer (DETR) is an end-to-end object detection model implemented using the Transformer architecture. DETR was developed by Facebook Research. The baseline DETR model has an AP score of 42.0% on COCO.

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Model Performance

name backbone schedule inf_time box AP url size
0 DETR R50 500 0.036 42.0 model | logs 159Mb
1 DETR-DC5 R50 500 0.083 43.3 model | logs 159Mb
2 DETR R101 500 0.050 43.5 model | logs 232Mb
3 DETR-DC5 R101 500 0.097 44.9 model | logs 232Mb

Explore this model on Roboflow

DETR Annotation Format

DETR

uses the

COCO JSON

annotation format. If your annotation is in a different format, you can use Roboflow's annotation conversion tools to get your data into the right format.

Convert data between formats

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