Search is not available for this dataset
image_id
int64 0
1.95k
| image
imagewidth (px) 640
640
| width
int32 640
640
| height
int32 640
640
| objects
sequence |
|---|---|---|---|---|
1,008 | 640 | 640 | {
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|
109 | 640 | 640 | {
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1,437 | 640 | 640 | {
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|
93 | 640 | 640 | {
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1,748 | 640 | 640 | {
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1,663 | 640 | 640 | {
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1,356 | 640 | 640 | {
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|
1,153 | 640 | 640 | {
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|
1,257 | 640 | 640 | {
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306 | 640 | 640 | {
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|
1,026 | 640 | 640 | {
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|
817 | 640 | 640 | {
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|
1,228 | 640 | 640 | {
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|
545 | 640 | 640 | {
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|
1,471 | 640 | 640 | {
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|
958 | 640 | 640 | {
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2
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|
642 | 640 | 640 | {
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|
281 | 640 | 640 | {
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|
1,457 | 640 | 640 | {
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1
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|
819 | 640 | 640 | {
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|
1,779 | 640 | 640 | {
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|
1,853 | 640 | 640 | {
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|
1,575 | 640 | 640 | {
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|
1,295 | 640 | 640 | {
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2
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|
100 | 640 | 640 | {
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2
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|
947 | 640 | 640 | {
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|
1,747 | 640 | 640 | {
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|
63 | 640 | 640 | {
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1
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|
476 | 640 | 640 | {
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2
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} |
|
1,475 | 640 | 640 | {
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1
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|
950 | 640 | 640 | {
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|
5 | 640 | 640 | {
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|
368 | 640 | 640 | {
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|
366 | 640 | 640 | {
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|
1,903 | 640 | 640 | {
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|
303 | 640 | 640 | {
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|
544 | 640 | 640 | {
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|
448 | 640 | 640 | {
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452 | 640 | 640 | {
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|
1,025 | 640 | 640 | {
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1
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|
1,174 | 640 | 640 | {
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|
526 | 640 | 640 | {
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1
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|
959 | 640 | 640 | {
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|
1,809 | 640 | 640 | {
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2
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|
1,208 | 640 | 640 | {
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1
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|
896 | 640 | 640 | {
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1
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} |
|
42 | 640 | 640 | {
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2
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|
1,045 | 640 | 640 | {
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|
162 | 640 | 640 | {
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1
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|
534 | 640 | 640 | {
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1
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|
964 | 640 | 640 | {
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4347
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1
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} |
|
1,911 | 640 | 640 | {
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3171
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2
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} |
|
146 | 640 | 640 | {
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165
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2254
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1
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|
970 | 640 | 640 | {
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1081
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1
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|
1,222 | 640 | 640 | {
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1
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|
1,456 | 640 | 640 | {
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191
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2
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|
1,873 | 640 | 640 | {
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1
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|
1,849 | 640 | 640 | {
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|
1,054 | 640 | 640 | {
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2
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|
654 | 640 | 640 | {
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2
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|
1,188 | 640 | 640 | {
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2
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|
898 | 640 | 640 | {
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1
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|
759 | 640 | 640 | {
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3267
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315,
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198
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2
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} |
|
1,768 | 640 | 640 | {
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2578
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27,
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1
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} |
|
27 | 640 | 640 | {
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31
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[
317,
289,
14.5,
111
]
],
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2
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} |
|
1,772 | 640 | 640 | {
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2275
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102,
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91
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1
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} |
|
1,322 | 640 | 640 | {
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350,
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12.5,
209
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[
396,
486,
21,
154
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2,
2
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} |
|
1,834 | 640 | 640 | {
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2056
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4738
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[
403,
102,
27,
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1
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} |
|
936 | 640 | 640 | {
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1046
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3505
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[
315,
236,
19,
184.5
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2
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} |
|
1,760 | 640 | 640 | {
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1973
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2805
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[
317,
224,
14.5,
193.5
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1
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} |
|
1,579 | 640 | 640 | {
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1779
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2821
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[
438,
440,
27,
104.5
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1
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} |
|
1,216 | 640 | 640 | {
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1372
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5323
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[
313,
238,
31.5,
169
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1
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} |
|
997 | 640 | 640 | {
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1119
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2532
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[
346,
262,
16.5,
153.5
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],
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2
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} |
|
1,878 | 640 | 640 | {
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2111
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1921
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[
312,
0,
17,
113
]
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2
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} |
|
239 | 640 | 640 | {
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268
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2343
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[
319,
263,
16.5,
142
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],
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2
]
} |
|
322 | 640 | 640 | {
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365
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5874
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[
219,
189,
31.5,
186.5
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],
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1
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} |
|
679 | 640 | 640 | {
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762
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3676
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[
319,
240,
19,
193.5
]
],
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2
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} |
|
1,926 | 640 | 640 | {
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2161
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2489
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[
282,
256,
19,
131
]
],
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2
]
} |
|
1,888 | 640 | 640 | {
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2122
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3078
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[
33,
526,
27,
114
]
],
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1
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} |
|
1,382 | 640 | 640 | {
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1559
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3780
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[
425,
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21,
180
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],
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1
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} |
|
1,012 | 640 | 640 | {
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1139
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3192
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[
315,
238,
16.5,
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2
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} |
|
1,393 | 640 | 640 | {
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1572
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2403
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[
190,
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1
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} |
|
1,551 | 640 | 640 | {
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1748
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3125
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[
319,
242,
19,
164.5
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2
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} |
|
149 | 640 | 640 | {
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168
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3726
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[
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167,
23,
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1
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} |
|
369 | 640 | 640 | {
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1
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} |
|
1,609 | 640 | 640 | {
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1812
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114
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1
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|
1,092 | 640 | 640 | {
"id": [
1226
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6249
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[
378,
244,
29,
215.5
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1
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|
1,817 | 640 | 640 | {
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2035
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2821
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[
0,
7,
16.5,
171
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1
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|
1,697 | 640 | 640 | {
"id": [
1905,
1906
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3473,
2954
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[
482,
327,
23,
151
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[
576,
391,
19,
155.5
]
],
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1,
1
]
} |
|
302 | 640 | 640 | {
"id": [
342
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"area": [
4243
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"bbox": [
[
311,
231,
23,
184.5
]
],
"category": [
2
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} |
|
875 | 640 | 640 | {
"id": [
977
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2675
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"bbox": [
[
317,
231,
14.5,
184.5
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],
"category": [
2
]
} |
|
1,691 | 640 | 640 | {
"id": [
1900
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"area": [
2095
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"bbox": [
[
321,
253,
14.5,
144.5
]
],
"category": [
2
]
} |
|
920 | 640 | 640 | {
"id": [
1027
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"area": [
1831
],
"bbox": [
[
319,
289,
12.5,
146.5
]
],
"category": [
2
]
} |
|
500 | 640 | 640 | {
"id": [
565
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"area": [
4898
],
"bbox": [
[
308,
484,
31.5,
155.5
]
],
"category": [
1
]
} |
|
1,604 | 640 | 640 | {
"id": [
1807
],
"area": [
4243
],
"bbox": [
[
615,
144,
23,
184.5
]
],
"category": [
1
]
} |
|
23 | 640 | 640 | {
"id": [
27
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"area": [
1387
],
"bbox": [
[
317,
391,
12.5,
111
]
],
"category": [
1
]
} |
|
1,206 | 640 | 640 | {
"id": [
1360,
1361
],
"area": [
3923,
3163
],
"bbox": [
[
342,
229,
19,
206.5
],
[
319,
5,
19,
166.5
]
],
"category": [
2,
2
]
} |
|
507 | 640 | 640 | {
"id": [
574
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"area": [
3220
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"bbox": [
[
146,
38,
23,
140
]
],
"category": [
1
]
} |
|
1,515 | 640 | 640 | {
"id": [
1711
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3296
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"bbox": [
[
319,
244,
19,
173.5
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"category": [
2
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} |
End of preview. Expand
in Dataset Viewer.
Dataset Card for radio-signal
** The original COCO dataset is stored at dataset.tar.gz**
Dataset Summary
radio-signal
Supported Tasks and Leaderboards
object-detection: The dataset can be used to train a model for Object Detection.
Languages
English
Dataset Structure
Data Instances
A data point comprises an image and its object annotations.
{
'image_id': 15,
'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=640x640 at 0x2373B065C18>,
'width': 964043,
'height': 640,
'objects': {
'id': [114, 115, 116, 117],
'area': [3796, 1596, 152768, 81002],
'bbox': [
[302.0, 109.0, 73.0, 52.0],
[810.0, 100.0, 57.0, 28.0],
[160.0, 31.0, 248.0, 616.0],
[741.0, 68.0, 202.0, 401.0]
],
'category': [4, 4, 0, 0]
}
}
Data Fields
image: the image idimage:PIL.Image.Imageobject containing the image. Note that when accessing the image column:dataset[0]["image"]the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the"image"column, i.e.dataset[0]["image"]should always be preferred overdataset["image"][0]width: the image widthheight: the image heightobjects: a dictionary containing bounding box metadata for the objects present on the imageid: the annotation idarea: the area of the bounding boxbbox: the object's bounding box (in the coco format)category: the object's category.
Who are the annotators?
Annotators are Roboflow users
Additional Information
Licensing Information
See original homepage https://universe.roboflow.com/object-detection/radio-signal
Citation Information
@misc{ radio-signal,
title = { radio signal Dataset },
type = { Open Source Dataset },
author = { Roboflow 100 },
howpublished = { \url{ https://universe.roboflow.com/object-detection/radio-signal } },
url = { https://universe.roboflow.com/object-detection/radio-signal },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { nov },
note = { visited on 2023-03-29 },
}"
Contributions
Thanks to @mariosasko for adding this dataset.
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