Caltech-101

## 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/Caltech-101"
ds_config = "without_background_category"

ds_without = load_dataset(ds_name, ds_config, use_auth_token=True)

# Extract information for the sample we want to show
index = 100
sample = ds_without["train"][index]
box_coord = sample["annotation"]["box_coord"][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/Caltech-101"
ds_config = "without_background_category"

ds_without = load_dataset(ds_name, ds_config, use_auth_token=True)

# 提取待展示样本的相关信息
index = 100
sample = ds_without["train"][index]
box_coord = sample["annotation"]["box_coord"][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()

# 绘制图像
image = img.imread(img_path)
ax.imshow(image)

# 向绘图中添加矩形补丁
ax.add_patch(
Rectangle((box_coord[2], box_coord[0]), box_coord[3] - box_coord[2], box_coord[1] - box_coord[0], fill=None)
)

# 显示绘图结果
plt.show()

结果：

搜集汇总

背景与挑战

背景概述

Caltech-101是一个图像数据集，包含图像和对应的标注框信息，大小为137.53MB，使用cc-by-4.0许可证，由HuggingFaceM4维护。