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:

YOLOv5

YOLOv8

YOLO11

Python

cURL

Javascript

Swift

.Net


from inference_sdk import InferenceHTTPClient
CLIENT = InferenceHTTPClient(
    api_url="https://detect.roboflow.com",
    api_key="****"
)
result = CLIENT.infer(your_image.jpg, model_id="license-plate-recognition-rxg4e/4")

ARM CPU

x86 CPU

Luxonis OAK

NVIDIA GPU

NVIDIA TRT

NVIDIA Jetson

Raspberry Pi

Why license Ultralytics YOLOv8 models with Roboflow?

Safety

Start using models without any risk of violating the AGPL-3.0 license. AGPL-3.0 is a risk for businesses because all software and models using AGPL-3.0 components must be open-source. Custom trained versions of models are still AGPL-3.0.

Speed

Commercial use available with free and paid plans. No talking to sales, fully transparent pricing. Work on private commercial projects immediately when deploying with Roboflow.

Durability

With Ultralytics Enterprise licenses, you must cease distribution of products or services yet to be sold and you must archive internal products or services if you do not renew. Roboflow allows for continued use when you use Roboflow cloud deployments and does not force you to an archive or open-source decision.

Platform

Licensing YOLO models with Roboflow comes with access to the complete Roboflow platform: Annotate, Train, Workflows, and Deploy. Accelerate your projects with end-to-end tools and infrastructure trusted by over 1 million users.

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The story of Yakshini revolves around Maya (played by Vedhika), a beautiful and powerful Yakshini who is banished from her celestial realm and cursed to live on Earth. To break the curse and return to her world, she must sacrifice 100 men, with the final victim being a "ShuddhaBrahman," a true celibate.

The story follows (played by Vedhika ), a celestial maiden and the youngest of 64 Yakshinis from Alkapuri, the realm of Kubera. After failing her duties by falling for a human, she is banished to Earth with a grim curse. To return to her home, Maya must sacrifice 100 virgin men .

The background score blends traditional Indian classical instruments with eerie, modern synthesized beats. This hybrid music heightens the tension during horror sequences and enhances the majesty during mythical flashbacks.

The story centers on , one of the 64 celestial nymphs living in Alkapuri, who is banished to Earth by Lord Kubera after falling for the deceitful Mahakal. To break her curse and return home, she is tasked with sacrificing 100 virgin men (Brahmacharis). Complications arise when her 100th intended victim, a common man named Krishna , genuinely falls in love with her, forcing Maya to choose between her redemption and her newfound human connection. Series Details Yakshini (TV Series 2024– ) Yakshini S1 -2024- Hindi Completed Web Series H...

Arka Media Works (Shobu Yarlagadda & Prasad Devineni) Genre: Mythology, Fantasy, Horror, Romantic Thriller Total Episodes: 6 Episodes

The series is praised for its CGI effects and set designs, which bring the fantasy elements to life.

On the IMDb platform, the series received a rating of , reflecting its divisive reception. The story of Yakshini revolves around Maya (played

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With only 6 episodes of around 30 minutes each, Yakshini is a quick and engaging watch. The cliffhanger endings ensure that you stay invested in the story until the very end.

However, things take an unexpected turn when she falls in love with a mortal man (played by Rahul Vijay). This romance creates a conflict between her mission, her desires, and the mortal laws of nature. The story progresses with elements of fantasy action, romance, and comedy as she navigates her new life in the human world. The series has been compared by some viewers to a modern-day take on the classic movie Nagina . Cast and Performances After failing her duties by falling for a

For a series relying on ancient curses and shape-shifting entities, technical execution is critical.

If you have typed this keyword into Google or YouTube recently, you are not alone. Here is why the Hindi version of this Marathi web series has become a sleeper hit:

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.

Selected YOLOv8 Models and Datasets

Plane Detection

Count airplanes photographed using aerial imagery techniques.

Warehouse Item Detection

Detect forklifts, pallets, and small load carriers, among other items you would find in a warehouse environment.

License Plate Detection

Identify license plates in an image.

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

Notebooks

YOLOv8 Object Detection

YOLOv8 Keypoint Detection

YOLOv8 Image Classification

YOLOv8 Instance Segmentation

YOLOv8 Oriented Bounding Boxes

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)

mAP^val

YOLOv8n

640

37.3

YOLOv8s

640

44.9

YOLOv8m

640

50.2

YOLOv8l

640

52.9

YOLOv8x

640

53.9

RF-DETR Outperforms YOLOv8

Yakshini S1 -2024- Hindi Completed Web Series H...

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.

Learn More

Yakshini S1 -2024- Hindi Completed Web Series H...

What is YOLOv8?

What is YOLOv8?

Get Started Using YOLOv8

Why license Ultralytics YOLOv8 models with Roboflow?

Safety

Speed

Durability

Platform

Yakshini S1 -2024- Hindi Completed Web Series H...

Find YOLOv8 Datasets

Selected YOLOv8 Models and Datasets

Search Roboflow Universe

Train a YOLOv8 Model

Notebooks

YOLOv8 Model Sizes

RF-DETR Outperforms YOLOv8

Frequently Asked Questions