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A computer vision model architecture for detection, classification, segmentation, and more.

What is YOLOv8?

YOLOv8 is a computer vision model architecture developed by Ultralytics, the creators of YOLOv5. You can deploy YOLOv8 models on a wide range of devices, including NVIDIA Jetson, NVIDIA GPUs, and macOS systems with Roboflow Inference, an open source Python package for running vision models.

What is YOLOv8?

YOLOv8 is a computer vision model architecture developed by Ultralytics, the creators of YOLOv5. You can deploy YOLOv8 models on a wide range of devices, including NVIDIA Jetson, NVIDIA GPUs, and macOS systems with Roboflow Inference, an open source Python package for running vision models.

Get Started Using YOLOv8

Roboflow is the fastest way to get YOLOv8 running in production. Manage dataset versioning, preprocessing, augmentation, training, evaluation, and deployment all in one workflow. Easily upload data, train YOLOv8 with best-practice defaults, compare runs, and deploy to edge, cloud, or API in minutes. Try a YOLOv8 model on Roboflow with this workflow:

Melissa Golden -

Due to its antispasmodic properties, it is frequently consumed as a tea to alleviate indigestion, bloating, and gastrointestinal discomfort.

Beyond its medicinal applications, lemon balm is a versatile player in the culinary world. Its leaves provide a subtle lemon flavor with a hint of mint, making it a perfect addition to both sweet and savory dishes. Chefs frequently use fresh leaves to garnish fruit platters, infuse syrups, flavor poultry and fish dishes, and brighten up summer salads. For home gardeners, it is an exceptionally easy and rewarding plant to grow, thriving in a variety of soil types and actively helping local ecosystems by supporting native bee populations. melissa golden

The Golden Herb: Exploring the History and Benefits of Melissa officinalis Due to its antispasmodic properties, it is frequently

Some clinical trials indicate that controlled doses of the herb can improve alertness, memory performance, and overall cognitive function in healthy adults. Chefs frequently use fresh leaves to garnish fruit

The historical journey of lemon balm begins in the Mediterranean region and Western Asia, where ancient civilizations first noted its potent properties. The Greek physician Dioscorides and the Roman naturalist Pliny the Elder both documented the plant, praising its ability to soothe the mind and treat wounds. During the Middle Ages, lemon balm became a staple in European monastery gardens. Carmelite nuns famously combined the herb with lemon peel, nutmeg, and angelica root to create "Carmelite Water" (Eau de Mélisse), a highly sought-after tonic used to treat nervous headaches and digestive issues. This historical use established its reputation as a "gladdening" herb capable of driving away melancholy.

Nature provides a vast pharmacy of botanical wonders, but few hold as distinguished and aromatic a legacy as Melissa officinalis . Commonly known as lemon balm , this perennial herb from the mint family has been cherished for over two thousand years. Its dual identity is reflected in its names: the scientific name Melissa comes from the Greek word for "honeybee" due to the plant's ability to attract pollinators, while its common name points to the bright, uplifting citrus scent of its leaves. Beyond its pleasant fragrance, lemon balm has played a vital role in traditional medicine, culinary arts, and daily wellness from ancient times to the modern era.

Due to its antispasmodic properties, it is frequently consumed as a tea to alleviate indigestion, bloating, and gastrointestinal discomfort.

Beyond its medicinal applications, lemon balm is a versatile player in the culinary world. Its leaves provide a subtle lemon flavor with a hint of mint, making it a perfect addition to both sweet and savory dishes. Chefs frequently use fresh leaves to garnish fruit platters, infuse syrups, flavor poultry and fish dishes, and brighten up summer salads. For home gardeners, it is an exceptionally easy and rewarding plant to grow, thriving in a variety of soil types and actively helping local ecosystems by supporting native bee populations.

The Golden Herb: Exploring the History and Benefits of Melissa officinalis

Some clinical trials indicate that controlled doses of the herb can improve alertness, memory performance, and overall cognitive function in healthy adults.

The historical journey of lemon balm begins in the Mediterranean region and Western Asia, where ancient civilizations first noted its potent properties. The Greek physician Dioscorides and the Roman naturalist Pliny the Elder both documented the plant, praising its ability to soothe the mind and treat wounds. During the Middle Ages, lemon balm became a staple in European monastery gardens. Carmelite nuns famously combined the herb with lemon peel, nutmeg, and angelica root to create "Carmelite Water" (Eau de Mélisse), a highly sought-after tonic used to treat nervous headaches and digestive issues. This historical use established its reputation as a "gladdening" herb capable of driving away melancholy.

Nature provides a vast pharmacy of botanical wonders, but few hold as distinguished and aromatic a legacy as Melissa officinalis . Commonly known as lemon balm , this perennial herb from the mint family has been cherished for over two thousand years. Its dual identity is reflected in its names: the scientific name Melissa comes from the Greek word for "honeybee" due to the plant's ability to attract pollinators, while its common name points to the bright, uplifting citrus scent of its leaves. Beyond its pleasant fragrance, lemon balm has played a vital role in traditional medicine, culinary arts, and daily wellness from ancient times to the modern era.

Find YOLOv8 Datasets

Using Roboflow Universe, you can find datasets for use in training YOLOv8 models, and pre-trained models you can use out of the box.

Search Roboflow Universe

Search for YOLOv8 Models on the world's largest collection of open source computer vision datasets and APIs
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Train a YOLOv8 Model

You can train a YOLOv8 model using the Ultralytics command line interface.

To train a model, install Ultralytics:

              pip install ultarlytics
            

Then, use the following command to train your model:

yolo task=detect
mode=train
model=yolov8s.pt
data=dataset/data.yaml
epochs=100
imgsz=640

Replace data with the name of your YOLOv8-formatted dataset. Learn more about the YOLOv8 format.

You can then test your model on images in your test dataset with the following command:

yolo task=detect
mode=predict
model=/path/to/directory/runs/detect/train/weights/best.pt
conf=0.25
source=dataset/test/images

Once you have a model, you can deploy it with Roboflow.

Deploy Your YOLOv8 Model

YOLOv8 Model Sizes

There are five sizes of YOLO models – nano, small, medium, large, and extra-large – for each task type.

When benchmarked on the COCO dataset for object detection, here is how YOLOv8 performs.
Model
Size (px)
mAPval
YOLOv8n
640
37.3
YOLOv8s
640
44.9
YOLOv8m
640
50.2
YOLOv8l
640
52.9
YOLOv8x
640
53.9

RF-DETR Outperforms YOLOv8

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Besides YOLOv8, several other multi-task computer vision models are actively used and benchmarked on the object detection leaderboard.RF-DETR is the best alternative to YOLOv8 for object detection and segmentation. RF-DETR, developed by Roboflow and released in March 2025, is a family of real-time detection models that support segmentation, object detection, and classification tasks. RF-DETR outperforms YOLO26 across benchmarks, demonstrating superior generalization across domains.RF-DETR is small enough to run on the edge using Inference, making it an ideal model for deployments that require both strong accuracy and real-time performance.

Frequently Asked Questions

What are the main features in YOLOv8?
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YOLOv8 comes with both architectural and developer experience improvements.

Compared to YOLOv8's predecessor, YOLOv5, YOLOv8 comes with:

  1. A new anchor-free detection system.
  2. Changes to the convolutional blocks used in the model.
  3. Mosaic augmentation applied during training, turned off before the last 10 epochs.

Furthermore, YOLOv8 comes with changes to improve developer experience with the model.

What is the license for YOLOVv8?
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Who created YOLOv8?
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