Nvidia

@sklillupdigitaltech

9.6K followers · usually 742 views a post

Views

2.6K

Likes

157

Comments

4

Shares

3

Selling · SaaS › AI Tool

Supervision

Why it worked

The video effectively showcases a cutting-edge AI technology with clear visual demonstrations and highlights its speed and efficiency, appealing to developers and AI enthusiasts.

Summary

This video introduces Supervision, an open-source Python library by Roboflow, which is a new computer vision model from Nvidia. It highlights that Supervision is 10x faster than other top models and uses a method called Parallel Box Decoding for efficient object detection.

Structure

1Introduction of Nvidia and Supervision
2Explanation of Supervision's speed and method
3Demonstration of object detection capabilities
4Details on Supervision's features and open-source nature
5Call to action to check the comments for a link

Product placement

Nvidia: ACTS - it is the company that developed the computer vision model discussed in the video. Removing it would change the context of the video. Nvidia: APPEARS - logo at the beginning of the video. Removing it would not change what happens in the video. Supervision: ACTS - it is an open-source Python library for building computer vision applications, which is the main subject of the video. Removing it would change the video. Roboflow: ACTS - it is mentioned as powering Supervision. Removing it would change the video.

Original caption

This NVIDIA open-source model changes computer vision. Trained on 100M+ queries, it delivers faster, more efficient object detection with one-shot prediction. #ComputerVision #NVIDIA #OpenSourceAI #MachineLearning #DeepLearning #AIResearch #ObjectDetection #AIModels #FutureOfAI #AIEngineering #BuildWithAI #Innovation #VisionAI #AICommunity #ViralAI

More from @sklillupdigitaltech

Their other posts in the index, biggest breakout first.

Call to action

Check the link in the comment section.

On-screen text

Nvidia a powerful vision and it's 10x faster top models objects boundaries step a method called Parallel box which can the entire in one reduces and speeds up enormous dataset than 100 million and Hundreds boxes to The result model detection fully open Supervision Docs 0.28.0 supervision Democratizing computer vision powered by roboflow What is Supervision? Supervision is an open-source Python library by Roboflow for building computer vision applications. It provides a unified Detections object with convs for supported outputs from Ultralytics, Roboflow Inference, Transformers, SAM, Detectron2, MMDetection, YOLO-NAS, PaddlePaddleDet, NCNN, Azure AI Vision, and VLM parsers. With Supervision you can annotate images and video with bounding boxes, masks, and labels; track objects across frames with persistent IDs; count and filter detections inside polygon zones; load and convert datasets between YOLO, COCO, and Pascal VOC formats; and benchmark model performance with mAP and confusion matrices. Supervision is MIT licensed, has 38,000+ GitHub stars, and over 1 million monthly PyPI downloads. It is developed in public on GitHub for production computer vision workflows. > Detail license

Transcript

Nvidia a powerful vision and it's 10x faster top models objects boundaries step a method called Parallel box which can the entire in one reduces and speeds up enormous dataset than 100 million and Hundreds boxes to The result model detection fully open Supervision Docs 0.28.0 supervision Democratizing computer vision powered by roboflow What is Supervision? Supervision is an open-source Python library by Roboflow for building computer vision applications. It provides a unified Detections object with convs for supported outputs from Ultralytics, Roboflow Inference, Transformers, SAM, Detectron2, MMDetection, YOLO-NAS, PaddlePaddleDet, NCNN, Azure AI Vision, and VLM parsers. With Supervision you can annotate images and video with bounding boxes, masks, and labels; track objects across frames with persistent IDs; count and filter detections inside polygon zones; load and convert datasets between YOLO, COCO, and Pascal VOC formats; and benchmark model performance with mAP and confusion matrices. Supervision is MIT licensed, has 38,000+ GitHub stars, and over 1 million monthly PyPI downloads. It is developed in public on GitHub for production computer vision workflows. > Detail license Check the link in the comment section.