Stanford-Cars
收藏魔搭社区2025-12-05 更新2025-09-13 收录
下载链接：
https://modelscope.cn/datasets/HuggingFaceM4/Stanford-Cars
下载链接
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资源简介：
## Code snippet to visualise the position of the box
```python
import matplotlib.image as img
import matplotlib.pyplot as plt
from datasets import load_dataset
from matplotlib.patches import Rectangle
# Load dataset
ds_name = "SaulLu/Stanford-Cars"
ds = load_dataset(ds_name, use_auth_token=True)
# Extract information for the sample we want to show
index = 100
sample = ds["train"][index]
box_coord = sample["bbox"][0]
img_path = sample["image"].filename
# Create plot
# define Matplotlib figure and axis
fig, ax = plt.subplots()
# plot figure
image = img.imread(img_path)
ax.imshow(image)
# add rectangle to plot
ax.add_patch(
Rectangle((box_coord[2], box_coord[0]), box_coord[3] - box_coord[2], box_coord[1] - box_coord[0], fill=None)
)
# display plot
plt.show()
```
Result:
## 用于可视化边界框位置的代码片段
python
import matplotlib.image as img
import matplotlib.pyplot as plt
from datasets import load_dataset
from matplotlib.patches import Rectangle
# 加载数据集
ds_name = "SaulLu/Stanford-Cars"
ds = load_dataset(ds_name, use_auth_token=True)
# 提取待展示样本的相关信息
index = 100
sample = ds["train"][index]
# 获取样本的边界框（bounding box，bbox）坐标
box_coord = sample["bbox"][0]
img_path = sample["image"].filename
# 创建绘图对象
# 定义Matplotlib画布与坐标轴
fig, ax = plt.subplots()
# 读取并绘制图像
image = img.imread(img_path)
ax.imshow(image)
# 向绘图区域添加矩形框
ax.add_patch(
Rectangle((box_coord[2], box_coord[0]), box_coord[3] - box_coord[2], box_coord[1] - box_coord[0], fill=None)
)
# 展示绘制结果
plt.show()
结果：
提供机构：
maas
创建时间：
2025-08-01
