PaddlePaddle/PaddleDetection

目标特别小，但数据集足够情况下，目前哪些模型比较合适？

Open

#3,468 opened on Jun 22, 2021

View on GitHub
 (3 comments) (0 reactions) (0 assignees)Python (2,731 forks)batch import
help wanted

Repository metrics

Stars
 (11,414 stars)
PR merge metrics
 (No merged PRs in 30d)

Description

目前使用的是fater-rcnn+FPN，也调了合适的anchor,但是结果仍然不太理想，选取一张：图像大小5472 * 3078 而目标大小仅有70*60,其余图大小和目标大小都差不多，针对该单类类别数据集有7W左右。

Contributor guide

Research direction
Review PaddleDetection documentation for small object detection strategies such as multi scale training, feature pyramid enhancements, or alternative models like YOLOX, PP YOLO, or PicoDet. Experiment with adjusting anchor sizes and input image scaling.
Tech stack
python
Domain
computer visionai
Issue type
Research
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Mostly clear
Prerequisites
PythonObject Detection basics
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60