Object Detection

Real-Time Vision

Deploy with Roboflow

YOLOv5

A very fast and easy to use PyTorch model that achieves state of the art (or near state of the art) results.

Try the Model

Use the widget below to experiment with YOLOv5. You can detect COCO classes such as people, vehicles, animals, household items.

Overview

YOLOv5 is Here

YOLOv5 was released by Glenn Jocher on June 9, 2020. It follows the recent releases of YOLOv4 (April 23, 2020) and EfficientDet (March 18, 2020).

YOLOv5 Performance

YOLOv5 is smaller and generally easier to use in production. Given it is natively implemented in PyTorch (rather than Darknet), modifying the architecture and exporting to many deploy environments is straightforward.

SIZE: YOLOv5s is about 88% smaller than big-YOLOv4 (27 MB vs 244 MB)

SPEED: YOLOv5 performs batch inference at about 140 FPS by default.
ACCURACY: YOLOv5 is roughly as accurate as YOLOv4 on small tasks (0.895 mAP vs 0.892 mAP on BCCD). On larger tasks like COCO, YOLOv4 is more performant.

Using YOLOv5

We've written both a YOLOv5 tutorial and YOLOv5 Colab notebook for training YOLOv5 on your own custom data.

2022 YOLOv5 releases Classification and Instance Segmentation

YOLOv5 launched supporting bounding boxes for object detection. Now you can use YOLOv5 for classification and instance segmentation as well.

‍

YOLOv5 License

YOLOv5

is licensed under a

AGPL-3.0

license.

Performance

Model	size ^(pixels)	mAP^box 50-95	mAP^mask 50-95	Train time ^{300 epochs A100 (hours)}	Speed ^{ONNX CPU (ms)}	Speed ^{TRT A100 (ms)}	params ^(M)	FLOPs ^{@640 (B)}
YOLOv5n-seg	640	27.6	23.4	80:17	62.7	1.2	2.0	7.1
YOLOv5s-seg	640	37.6	31.7	88:16	173.3	1.4	7.6	26.4
YOLOv5m-seg	640	45.0	37.1	108:36	427.0	2.2	22.0	70.8
YOLOv5l-seg	640	49.0	39.9	66:43 (2x)	857.4	2.9	47.9	147.7
YOLOv5x-seg	640	50.7	41.4	62:56 (3x)	1579.2	4.5	88.8	265.7

Deploy a YOLOv5 API

You can use Roboflow Inference to deploy a

YOLOv5

API on your hardware. You can deploy the model on CPU (i.e. Raspberry Pi, AI PCs) and GPU devices (i.e. NVIDIA Jetson, NVIDIA T4).

Below are instructions on how to deploy your own model API.

You can run fine-tuned YOLOv5 object detection models with Inference.

First, install Inference:‍


pip install inference

Retrieve your Roboflow API key and save it in an environment variable called ROBOFLOW_API_KEY:


export ROBOFLOW_API_KEY="your-api-key"

To use your model, run the following code:


import inference
model = inference.load_roboflow_model("model-name/version")
results = model.infer(image="YOUR_IMAGE.jpg")

Above, replace:

YOUR_IMAGE.jpg with the path to your image.
model_id/version with the YOLOv5 model ID and version you want to use. Learn how to retrieve your model and version ID

Label Data Automatically with YOLOv5

You can automatically label a dataset using YOLOv5 with help from Autodistill, an open source package for training computer vision models. You can label a folder of images automatically with only a few lines of code. Below, see our tutorials that demonstrate how to use YOLOv5 to train a computer vision model.

OWL-ViT and YOLOv5

Grounding DINO and YOLOv5

SAM-CLIP and YOLOv5

Grounded SAM and YOLOv5

Compare YOLOv5 Model Sizes

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Popular YOLOv5 Use Cases

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YOLOv5 Integrations

YOLOv5 to Active Learning Data Collector

Build a computer vision workflow that connects YOLOv5 to Active Learning Data Collector.

YOLOv5 to SMS

Build a computer vision workflow that connects YOLOv5 to SMS.

YOLOv5 to S3 Upload

Build a computer vision workflow that connects YOLOv5 to S3 Upload.

YOLOv5 to Kafka Publish

Build a computer vision workflow that connects YOLOv5 to Kafka Publish.

YOLOv5 to CSV Sink

Build a computer vision workflow that connects YOLOv5 to CSV Sink.

YOLOv5 to Azure Sink

Build a computer vision workflow that connects YOLOv5 to Azure Sink.

YOLOv5 to Webhook Publish

Build a computer vision workflow that connects YOLOv5 to Webhook Publish.

YOLOv5 to MQTT Publisher

Build a computer vision workflow that connects YOLOv5 to MQTT Publisher.

YOLOv5 to Roboflow Keypoint Detection Model

Build a computer vision workflow that connects YOLOv5 to Roboflow Keypoint Detection Model.

YOLOv5 to YOLOv8 Keypoint Detection

Build a computer vision workflow that connects YOLOv5 to YOLOv8 Keypoint Detection.

YOLOv9 to YOLOv5

Build a computer vision workflow that connects YOLOv9 to YOLOv5.

Roboflow Keypoint Detection Model to YOLOv5

Build a computer vision workflow that connects Roboflow Keypoint Detection Model to YOLOv5.

YOLOv5 to Roboflow Classification Model

Build a computer vision workflow that connects YOLOv5 to Roboflow Classification Model.

YOLOv8 to YOLOv5

Build a computer vision workflow that connects YOLOv8 to YOLOv5.

YOLOv7 Instance Segmentation to YOLOv5

Build a computer vision workflow that connects YOLOv7 Instance Segmentation to YOLOv5.

YOLOv5 to Roboflow Object Detection Model

Build a computer vision workflow that connects YOLOv5 to Roboflow Object Detection Model.

YOLOv5 to YOLOv5 Instance Segmentation

Build a computer vision workflow that connects YOLOv5 to YOLOv5 Instance Segmentation.

YOLOv8 Classification to YOLOv5

Build a computer vision workflow that connects YOLOv8 Classification to YOLOv5.

YOLOv5 to YOLOv5

Build a computer vision workflow that connects YOLOv5 to YOLOv5.

Roboflow Classification Model to YOLOv5

Build a computer vision workflow that connects Roboflow Classification Model to YOLOv5.

YOLOv5 to Roboflow Instance Segmentation Model

Build a computer vision workflow that connects YOLOv5 to Roboflow Instance Segmentation Model.

YOLOv5 to YOLOv9

Build a computer vision workflow that connects YOLOv5 to YOLOv9.

YOLOv8 Keypoint Detection to YOLOv5

Build a computer vision workflow that connects YOLOv8 Keypoint Detection to YOLOv5.

YOLOv5 Instance Segmentation to YOLOv5

Build a computer vision workflow that connects YOLOv5 Instance Segmentation to YOLOv5.

YOLOv5 to YOLOv8 Classification

Build a computer vision workflow that connects YOLOv5 to YOLOv8 Classification.

YOLOv8 Instance Segmentation to YOLOv5

Build a computer vision workflow that connects YOLOv8 Instance Segmentation to YOLOv5.

Roboflow Object Detection Model to YOLOv5

Build a computer vision workflow that connects Roboflow Object Detection Model to YOLOv5.

YOLOv5 to YOLOv8

Build a computer vision workflow that connects YOLOv5 to YOLOv8.

Roboflow Instance Segmentation Model to YOLOv5

Build a computer vision workflow that connects Roboflow Instance Segmentation Model to YOLOv5.

YOLOv5 to YOLOv7 Instance Segmentation

Build a computer vision workflow that connects YOLOv5 to YOLOv7 Instance Segmentation.

Explore This Model on Roboflow

Blog

YOLOv5

Try the Model

Overview

YOLOv5 is Here

YOLOv5 Performance

Using YOLOv5

2022 YOLOv5 releases Classification and Instance Segmentation

YOLOv5 License

Performance

Deploy a YOLOv5 API

Label Data Automatically with YOLOv5

Compare YOLOv5 Model Sizes

Deploy to Production

Build a Workflow

Data

Training

Utilities

Compare to Related Models

Convert Annotation Format

Architecture

Frameworks

Annotation Format

Popular YOLOv5 Use Cases

YOLOv5 Integrations

YOLOv5 to Active Learning Data Collector

YOLOv5 to SMS

YOLOv5 to S3 Upload

YOLOv5 to Kafka Publish

YOLOv5 to CSV Sink

YOLOv5 to Azure Sink

YOLOv5 to Webhook Publish

YOLOv5 to MQTT Publisher

YOLOv5 to Roboflow Keypoint Detection Model

YOLOv5 to YOLOv8 Keypoint Detection

YOLOv9 to YOLOv5

Roboflow Keypoint Detection Model to YOLOv5

YOLOv5 to Roboflow Classification Model

YOLOv8 to YOLOv5

YOLOv7 Instance Segmentation to YOLOv5

YOLOv5 to Roboflow Object Detection Model

YOLOv5 to YOLOv5 Instance Segmentation

YOLOv8 Classification to YOLOv5

YOLOv5 to YOLOv5

Roboflow Classification Model to YOLOv5

YOLOv5 to Roboflow Instance Segmentation Model

YOLOv5 to YOLOv9

YOLOv8 Keypoint Detection to YOLOv5

YOLOv5 Instance Segmentation to YOLOv5

YOLOv5 to YOLOv8 Classification

YOLOv8 Instance Segmentation to YOLOv5

Roboflow Object Detection Model to YOLOv5

YOLOv5 to YOLOv8

Roboflow Instance Segmentation Model to YOLOv5

YOLOv5 to YOLOv7 Instance Segmentation

Explore This Model on Roboflow

YOLOv5 for Oriented Object Detection

Responding to the Controversy about YOLOv5

Retail Store Item Detection using YOLOv5

School Bus Object Detection Using YOLOv5

What is YOLOv5? A Guide for Beginners.

How to Train YOLOv5 On a Custom Dataset

How to Train YOLOv5-Classification on a Custom Dataset

YOLOv5 is Here: State-of-the-Art Object Detection at 140 FPS

Deploy YOLOv5 to Jetson Xavier NX at 30FPS

Roboflow and Ultralytics Partner to Streamline YOLOv5 MLOps

How to Train YOLOv5 Instance Segmentation with Custom Data

YOLOv5 - Complete Guide and Overview

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