Table:
Year

Team

Games

Receiving

Rushing

Fumbles

GP
GS
Rec
Yds
Avg
Lng
TD
Att
Yds
Avg
Lng
TD
Fum
Lost

2009
SF

11
11
48
625
13.0
50
2
0
0
0
0
0
1
1

2010
SF

16
15
55
741
13.5
60T
6
0
0
0
0
0
0
0

2011
SF

15
14
72
874
12.1
52T
4
1
6
6.0
0
0
0
0

2012
SF

16
16
85
1,105
13.0
49T
9
1
8
8.0
0
0
0
0

2013
SF

5
5
19
284
14.9
60
1
0
0
0
0
0
0
0

2014
SF

16
16
68
698
10.3
51
4
1
4
4.0
0
0
0
0

2015
OAK

16
15
85
922
10.8
38T
9
0
0
0
0
0
1
0

2016
OAK

16
16
89
1,003
12.1
56
8
0
0
0
0
0
2
0

2017
OAK

14
14
58
618
10.7
41
8
0
0
0
0
0
1
0

2018
BAL

16
16
54
607
11.2
27
3
0
0
0
0
0
0
0

Total
141
138
633
7,477
11.8
60T
54
3
18
6.0
0
0
6
1

The task is as follows:
Analyze the table in this image to find every merged cell. Return the regions of these merged cells in the JSON {'top-left':(X1, Y1), 'bottom-right':(X2, Y2)}, where '(X1, Y1)' and '(X2, Y2)' show the (row_id, column_id) of the top-left and bottom-right cells in these regions, respectively. The row and column IDs start from 1.

The merged cell areas are as follows:
{'top-left':(1, 1), 'bottom-right':(2, 1)}
{'top-left':(1, 2), 'bottom-right':(2, 2)}
{'top-left':(1, 3), 'bottom-right':(1, 4)}
{'top-left':(1, 5), 'bottom-right':(1, 9)}
{'top-left':(1, 10), 'bottom-right':(1, 14)}
{'top-left':(1, 15), 'bottom-right':(1, 16)}
{'top-left':(13, 1), 'bottom-right':(13, 2)}.