image
imagewidth (px)
512
512
identity
int64
0
65
angle
int64
0
360
x1
float64
-1
309
y1
float64
-1
607
x2
float64
-1
512
y2
float64
-1
908
0
0
112
42
299
187
0
1
111
43
299
187
0
2
114
44
301
187
0
3
118
44
305
188
0
4
120
45
308
189
0
5
112
46
301
190
0
6
104
47
293
192
0
7
95
47
285
192
0
8
92
46
284
192
0
9
94
45
287
192
0
10
96
44
291
191
0
11
96
44
293
192
0
12
96
43
296
193
0
13
96
45
299
195
0
14
97
47
302
198
0
15
101
50
307
200
0
16
107
52
314
202
0
17
112
54
321
204
0
18
116
55
325
203
0
19
119
53
327
202
0
20
121
53
331
202
0
21
124
51
336
201
0
22
128
51
344
201
0
23
133
51
351
202
0
24
135
52
356
202
0
25
135
53
358
202
0
26
129
52
355
201
0
27
122
53
350
201
0
28
114
53
344
200
0
29
109
52
340
198
0
30
107
52
341
197
0
31
107
50
345
196
0
32
103
50
345
197
0
33
100
51
347
199
0
34
99
51
347
199
0
35
92
52
344
200
0
36
83
52
338
199
0
37
71
53
328
199
0
38
68
53
326
197
0
39
71
51
331
194
0
40
73
50
333
193
0
41
73
50
336
193
0
42
71
50
338
194
0
43
70
50
340
194
0
44
67
49
340
194
0
45
61
49
337
194
0
46
58
51
336
195
0
47
45
54
329
198
0
48
41
57
327
199
0
49
43
59
331
199
0
50
42
59
333
200
0
51
38
59
335
201
0
52
39
61
339
202
0
53
40
63
342
203
0
54
30
62
335
203
0
55
16
63
325
202
0
56
13
64
323
200
0
57
18
61
330
197
0
58
23
61
336
196
0
59
30
61
347
197
0
60
35
60
356
198
0
61
34
60
358
199
0
62
23
61
353
201
0
63
10
62
345
203
0
64
1
63
342
203
0
65
4
62
348
202
0
66
11
62
357
202
0
67
19
61
365
202
0
68
23
62
372
201
0
69
25
61
377
201
0
70
19
61
371
200
0
71
11
62
366
199
0
72
11
62
365
197
0
73
13
60
368
195
0
74
15
59
375
195
0
75
18
60
380
196
0
76
21
60
387
198
0
77
21
60
392
198
0
78
16
61
390
198
0
79
13
63
387
198
0
80
13
63
387
196
0
81
12
62
387
195
0
82
1
61
380
194
0
83
0
61
379
193
0
84
2
60
384
192
0
85
7
60
388
192
0
86
16
60
395
192
0
87
28
61
405
191
0
88
33
62
409
191
0
89
30
60
407
191
0
90
25
60
406
192
0
91
26
61
409
193
0
92
26
62
410
194
0
93
21
62
405
195
0
94
15
61
400
196
0
95
17
60
401
195
0
96
24
58
405
194
0
97
25
57
408
195
0
98
21
56
406
197
0
99
19
55
406
198

CFV Dataset: Fine-Grained Predictions of Car Orientation from Images

Description

Dataset Summary

We present the CFV Dataset for estimating the car's orientation from images. Our dataset was obtained by recording cars while walking around them and annotating the frames with the pitch angle value in a semi-automatic manner. All images have the license plates anonymized.

Data Instance

One instance contains the following keys:

  • image: The RGB image displaying the car
  • identity: Unique integer for each recorded car
  • angle: An integer ranging between 0-360, indicating the pitch angle value of the car in the image (in degrees)
  • x1, y1, x2, y2: the bounding box of the car

Citation Information

If you utilize this dataset for any project or research, please cite our paper:

@article{catruna2023car,
  title={Car Full View Dataset: Fine-Grained Predictions of Car Orientation from Images},
  author={Catruna, Andy and Betiu, Pavel and Tertes, Emanuel and Ghita, Vladimir and Radoi, Emilian and Mocanu, Irina and Dascalu, Mihai},
  journal={Electronics},
  volume={12},
  number={24},
  pages={4947},
  year={2023},
  publisher={MDPI}
}
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