# RF-DETR

## Docs

- [Export to ONNX](https://mintlify.wiki/roboflow/rf-detr/deploy/export-onnx.md): Export RF-DETR models to ONNX format for deployment with ONNX Runtime or TensorRT
- [Deploy to Roboflow](https://mintlify.wiki/roboflow/rf-detr/deploy/roboflow.md): Deploy fine-tuned RF-DETR models to Roboflow for cloud inference
- [Installation](https://mintlify.wiki/roboflow/rf-detr/installation.md): Install RF-DETR in your Python environment.
- [Introduction](https://mintlify.wiki/roboflow/rf-detr/introduction.md): RF-DETR is a real-time transformer-based object detection and instance segmentation model from Roboflow.
- [Quickstart](https://mintlify.wiki/roboflow/rf-detr/quickstart.md): Run your first RF-DETR detection or segmentation model in minutes.
- [Benchmarks](https://mintlify.wiki/roboflow/rf-detr/reference/benchmarks.md): RF-DETR performance benchmarks on COCO and RF100-VL for detection and segmentation
- [Migration Guide](https://mintlify.wiki/roboflow/rf-detr/reference/migration.md): Update your imports when upgrading RF-DETR to avoid deprecated module paths
- [Model variants](https://mintlify.wiki/roboflow/rf-detr/reference/model-variants.md): All available RF-DETR detection and segmentation model classes
- [RFDETR class](https://mintlify.wiki/roboflow/rf-detr/reference/rfdetr.md): API reference for the RFDETR base class — predict, train, export, and deploy
- [SegmentationTrainConfig](https://mintlify.wiki/roboflow/rf-detr/reference/segmentation-train-config.md): Training configuration for RF-DETR segmentation models
- [TrainConfig](https://mintlify.wiki/roboflow/rf-detr/reference/train-config.md): Complete reference for all RF-DETR training configuration parameters
- [Object Detection](https://mintlify.wiki/roboflow/rf-detr/run/detection.md): Run RF-DETR object detection models on images, video files, and live streams
- [Pretrained Models](https://mintlify.wiki/roboflow/rf-detr/run/pretrained-models.md): Overview of all available RF-DETR pretrained model sizes and their performance
- [Instance Segmentation](https://mintlify.wiki/roboflow/rf-detr/run/segmentation.md): Run RF-DETR segmentation models for pixel-level instance masks
- [Advanced Training](https://mintlify.wiki/roboflow/rf-detr/train/advanced.md): Resume training, early stopping, multi-GPU, and memory optimization
- [Custom Augmentations](https://mintlify.wiki/roboflow/rf-detr/train/augmentations.md): Configure Albumentations augmentation pipelines for RF-DETR training
- [Dataset Formats](https://mintlify.wiki/roboflow/rf-detr/train/dataset-formats.md): Prepare your dataset in COCO or YOLO format for RF-DETR training
- [Training Loggers](https://mintlify.wiki/roboflow/rf-detr/train/loggers.md): Track experiments with TensorBoard, Weights & Biases, MLflow, and ClearML
- [Train Models](https://mintlify.wiki/roboflow/rf-detr/train/overview.md): Fine-tune RF-DETR on your custom dataset for object detection and segmentation
- [Training Parameters](https://mintlify.wiki/roboflow/rf-detr/train/training-parameters.md): Complete reference for all RF-DETR training configuration options

## OpenAPI Specs

- [openapi](https://mintlify.wiki/roboflow/rf-detr/api-reference/openapi.json)