# bubbliiiing/yolo3-pytorch

这是一个yolo3-pytorch的源码，可以用于训练自己的模型。

Repository: https://github.com/bubbliiiing/yolo3-pytorch
Canonical: https://ross.abutalabs.com/products/yolo3-pytorch
Language: Python
License: MIT
License Family: permissive
Last push: 2024-01-26T07:39:32+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": 2333, "days_push": 950, "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 2112, forks 576 (observed 2026-08-28T04:06:14.552808+00:00)

## What it is
A PyTorch implementation of the YOLOv3 object detection model with full training, prediction, and evaluation scripts. It supports training on custom VOC-format datasets and includes pretrained COCO weights.

## Use cases
- train a custom object detection model on my own images
- run YOLOv3 inference on photos or video
- detect objects in images with pretrained COCO weights
- fine-tune YOLOv3 on a VOC-format dataset
- evaluate object detection mAP on a validation set
- learn how YOLOv3 works by reading annotated source code

## When to choose
- you want a readable, well-commented YOLOv3 implementation for learning or teaching
- you need to train YOLOv3 on your own VOC-format dataset in PyTorch
- you want a simple training/prediction/evaluation pipeline without heavy framework dependencies

## When to avoid
- you need state-of-the-art detection accuracy or speed (newer YOLO versions exist)
- you require production-grade serving, ONNX/TensorRT export, or long-term maintenance
- you need a framework with extensive ecosystem support like Ultralytics YOLO

## 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: object-detection, yolo, yolov3, pytorch, training, inference, custom-dataset, voc-dataset, coco, gpu

## Member repositories
- bubbliiiing/yolo3-pytorch (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:14.552808+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 2026-08-30T02:53:41.405486+00:00, confidence not recorded.
  - readme: https://github.com/bubbliiiing/yolo3-pytorch (fetched 2026-08-28T04:06:14.552808+00:00, sha 372609d47c64)
- Data as of 2026-08-30T08:39:29.467469+00:00.