Models
RF-DETR vs. YOLOv4 Tiny

RF-DETR vs. YOLOv4 Tiny

Both RF-DETR and YOLOv4 Tiny are commonly used in computer vision projects. Below, we compare and contrast RF-DETR and YOLOv4 Tiny.

Models

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RF-DETR

RF-DETR is a SOTA, real-time object detection model architecture developed by Roboflow and released under the Apache 2.0 license.
Learn more about RF-DETR
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YOLOv4 Tiny

The tiny and fast version of YOLOv4 - good for training and deployment on limited compute resources, and getting a feel for your dataset
Learn more about YOLOv4 Tiny
Model Type
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
Transformers
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ResNet-D, YOLO
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Frameworks
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Darknet
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub
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View Repo
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View Repo
GitHub Stars
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License
Apache 2.0
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YOLO
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Paper
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View Paper
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View Paper
Training Notebook
Train on Colab
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Train on Colab
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Deploy Model
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Deploy with Roboflow
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rocket icon
Deploy with Roboflow
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Compare RF-DETR and YOLOv4 Tiny with Autodistill

Compare RF-DETR vs. YOLOv4 Tiny

Provide your own image below to test YOLOv8 and YOLOv9 model checkpoints trained on the Microsoft COCO dataset.

COCO can detect 80 common objects, including cats, cell phones, and cars.