From 215ec3030452fff75f7ca9b2a79a28107ac6ba2c Mon Sep 17 00:00:00 2001 From: Muhammad Rizwan Munawar Date: Wed, 7 Feb 2024 22:32:13 +0500 Subject: [PATCH] Add https://youtu.be/R42s2zFtNIY to `hub/datasets.md` and CoreML image fix (#8085) Co-authored-by: Glenn Jocher --- docs/en/hub/datasets.md | 11 +++++++++++ docs/en/integrations/coreml.md | 2 +- docs/en/integrations/gradio.md | 4 +++- 3 files changed, 15 insertions(+), 2 deletions(-) diff --git a/docs/en/hub/datasets.md b/docs/en/hub/datasets.md index 1ab7c45fc1..40cc207e9e 100644 --- a/docs/en/hub/datasets.md +++ b/docs/en/hub/datasets.md @@ -10,6 +10,17 @@ keywords: Ultralytics, HUB datasets, YOLO model training, upload datasets, datas Once uploaded, datasets can be immediately utilized for model training. This integrated approach facilitates a seamless transition from dataset management to model training, significantly simplifying the entire process. +

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+ Watch: Watch: Upload Datasets to Ultralytics HUB | Complete Walkthrough of Dataset Upload Feature +

+ ## Upload Dataset Ultralytics HUB datasets are just like YOLOv5 and YOLOv8 🚀 datasets. They use the same structure and the same label formats to keep everything simple. diff --git a/docs/en/integrations/coreml.md b/docs/en/integrations/coreml.md index 45aa8a2836..cbcff691c8 100644 --- a/docs/en/integrations/coreml.md +++ b/docs/en/integrations/coreml.md @@ -13,7 +13,7 @@ The CoreML export format allows you to optimize your [Ultralytics YOLOv8](https: ## CoreML

- CoreML Overview + CoreML Overview

[CoreML](https://developer.apple.com/documentation/coreml) is Apple's foundational machine learning framework that builds upon Accelerate, BNNS, and Metal Performance Shaders. It provides a machine-learning model format that seamlessly integrates into iOS applications and supports tasks such as image analysis, natural language processing, audio-to-text conversion, and sound analysis. diff --git a/docs/en/integrations/gradio.md b/docs/en/integrations/gradio.md index ce67ca5aa7..3845b4f155 100644 --- a/docs/en/integrations/gradio.md +++ b/docs/en/integrations/gradio.md @@ -16,7 +16,9 @@ This Gradio interface provides an easy and interactive way to perform object det * **Real-Time Adjustments:** Parameters such as confidence and IoU thresholds can be adjusted on the fly, allowing for immediate feedback and optimization of detection results. * **Broad Accessibility:** The Gradio web interface can be accessed by anyone, making it an excellent tool for demonstrations, educational purposes, and quick experiments. -Gradio example screenshot +

+ Gradio example screenshot +

## How to Install the Gradio