Models
YOLO11 vs. YOLOv4 Tiny

YOLO11 vs. YOLOv4 Tiny

Both YOLO11 and YOLOv4 Tiny are commonly used in computer vision projects. Below, we compare and contrast YOLO11 and YOLOv4 Tiny.

Models

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YOLO11

YOLO11 is a computer vision model that you can use for object detection, segmentation, and classification.
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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
Model Type
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
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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 Stars
29000
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License
AGPL-3.0
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YOLO
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Training Notebook

Compare YOLO11 and YOLOv4 Tiny with Autodistill

Compare YOLO11 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.