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car-paint-defect-detection
TrainingCat/car-paint-defect-detection
car-paint-defect-detection is a image classification model from TrainingCat. Use it when you need a label for an image. The card lists the license as cc-by-4.0.
Access
Public
Updated Dec 3, 2025
Repo size
1.4 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pth1.4 GB · 100%
At a glance
- Task
- Image Classification
- License
- cc-by-4.0
- Access
- Public
- Created
- Dec 3, 2025
- Updated
- Dec 3, 2025
- SHA
- a069223b
Model card
From the Hugging Face model README
汽车漆面缺陷检测模型
基于深度学习的汽车漆面缺陷检测系统，包含三个核心模块。
模型文件
| 模型 | 文件 | 大小 | 用途 |
|---|---|---|---|
| DQN图像增强 | task1_dqn/dqn_final.pth | ~987MB | 强化学习图像增强 |
| UNet++分割 | task2_unetpp/best_model.pth | ~105MB | 缺陷区域分割 (IoU=0.884) |
| ResNet分类 | task3_classification/best_model.pth | ~283MB | 缺陷类型分类 (Acc=96.3%) |
下载方法
from huggingface_hub import hf_hub_download
# 下载分割模型
model_path = hf_hub_download(
repo_id="TrainingCat/car-paint-defect-detection",
filename="task2_unetpp/best_model.pth"
)
或使用命令行:
huggingface-cli download TrainingCat/car-paint-defect-detection --local-dir models/
数据集
- Task
- Image Classification
- License
- cc-by-4.0
- Languages
- zh
- Created
- Dec 3, 2025
- Updated
- Dec 3, 2025