# bubbliiiing/yolov5-pytorch

这是一个YoloV5-pytorch的源码，可以用于训练自己的模型。

Repository: https://github.com/bubbliiiing/yolov5-pytorch
Canonical: https://ross.abutalabs.com/products/yolov5-pytorch
Language: Python
License: GPL-3.0
License Family: copyleft
Last push: 2023-08-27T11:20:01+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 1691, "days_push": 1102, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1149, forks 186 (observed 2026-08-28T04:03:46.269032+00:00)

## What it is
A PyTorch implementation of the YOLOv5 (v5.0) object detection model with full training, prediction, and evaluation pipelines. It is designed for training custom object detection models on user-provided datasets such as VOC-format annotations.

## Use cases
- train a custom object detection model on my own dataset
- run YOLOv5 object detection on images in PyTorch
- convert VOC annotations and train YOLOv5 s/m/l/x variants
- evaluate object detection mAP on COCO or VOC datasets
- learn how YOLOv5 works internally with readable source code

## When to choose
- you want a clean, educational PyTorch YOLOv5 codebase to train custom models
- you need full-precision weights and step-by-step training scripts in Chinese and English
- you want multi-GPU training support with configurable optimizers and learning rate schedules

## When to avoid
- you need the latest Ultralytics YOLOv5/v6.1 features or production-grade tooling
- you require commercial use under a permissive license (it is GPL-3.0)
- you need active ongoing development or frequent updates

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning, computer-vision, image-processing
- domain: computer-vision, deep-learning, machine-learning, image-processing
- platform: python, cross-platform
- tags: yolov5, object-detection, pytorch, model-training, custom-dataset, gpu

## Member repositories
- bubbliiiing/yolov5-pytorch (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:46.269032+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:33:43.794379+00:00, confidence not recorded.
  - readme: https://github.com/bubbliiiing/yolov5-pytorch (fetched 2026-08-28T04:03:46.269032+00:00, sha 4b4952cf0cc1)
- Data as of 2026-08-30T08:39:29.467469+00:00.