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.

Abyss 1989 Archiveorg - The

James Cameron’s 1989 underwater sci-fi epic, The Abyss , stands as one of the most ambitious and logistically challenging films in cinema history. For decades, fans faced a different kind of challenge: finding a high-quality, accessible version of the film to watch at home. Because the movie stuck in standard-definition limbo on DVD for over twenty years, film historians, cinephiles, and casual viewers turned to Archive.org (The Internet Archive) to preserve and view this elusive masterpiece.

Use the Archive’s materials as a supplement, not a replacement. Watch the official release on Disney+ or buy the 4K disc. Then dive into archive.org for the deleted scenes, commentaries, and scripts that the official release ignores.

Related search suggestions: (functions.RelatedSearchTerms)

Internet Archive (Archive.org) serves as a vital digital library for cultural artifacts, including rare and out-of-print films. For a movie like The Abyss , the platform has become a repository for history that might otherwise be lost to time. Preserving Rare Audio and Video Formats the abyss 1989 archiveorg

The site hosts the novelization of the film written by Orson Scott Card , which expands on the character backstories and the nature of the aliens.

The Special Edition was initially released only on laserdisc and later on DVD, becoming the preferred version for many fans. For years, the film languished in standard‑definition releases while other Cameron classics were upgraded. Finally, in December 2023, The Abyss received a for digital platforms, followed by a physical 4K Blu‑ray release in March 2024.

Lena was their lead geophysicist—a woman who had spent more cumulative hours in saturation chambers than any living American. She trusted physics. She trusted math. She did not trust the way her teeth started aching two hours after Seaview II began its descent. James Cameron’s 1989 underwater sci-fi epic, The Abyss

How the compares to the original LaserDisc versions Share public link

The Abyss was a critical and commercial success, winning the Oscar for Best Visual Effects. However, its true legacy is that of a "film of the future." It was the direct predecessor to the CGI revolutions of the 1990s, while its underwater technology paved the way for deep-sea exploration filming.

For the digital archivist or the cinephile browsing the stacks of Archive.org, The Abyss is not just a movie; it is a multi-layered artifact of home video history. Use the Archive’s materials as a supplement, not

He did. The ascent took forty-seven minutes. For forty-six of them, the gravimeter spun like a dying star. On the forty-seventh, as they breached the thermocline and sunlight began to stain the water green, the instrument went still. So did Lena’s teeth.

On Archive.org, the film exists as a study in authorial intent. The theatrical cut is a tight, claustrophobic thriller about extraterrestrial contact. The Special Edition, readily available in the Archive’s user-uploaded collections, transforms the film into a philosophical treatise on humanity’s self-destructive nature. The Archive preserves these distinctions, allowing viewers to switch between the studio-mandated cut and Cameron’s original vision with a few clicks, often sourced from vintage NTSC tapes that carry the grain and hiss of the era.

Before the 2024 official 4K remaster, the 1993 Special Edition LaserDisc box set was considered the best audio and video presentation of the film. Archivists digitized these discs to preserve the original theatrical and extended color grading.

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

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

Abyss 1989 Archiveorg - The

What is YOLOv8?

What is YOLOv8?

Get Started Using YOLOv8

Why license Ultralytics YOLOv8 models with Roboflow?

Safety

Speed

Durability

Platform

Abyss 1989 Archiveorg - The

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