keremberke/yolov8m-valorant-detection
Object Detection
•
Updated
•
4.24k
•
10
image_id
int64 0
6.93k
| image
imagewidth (px) 416
416
| width
int32 416
416
| height
int32 416
416
| objects
sequence |
---|---|---|---|---|
2,400 | 416 | 416 | {
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188
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1
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|
4,934 | 416 | 416 | {
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|
3,298 | 416 | 416 | {
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|
2,402 | 416 | 416 | {
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|
1,613 | 416 | 416 | {
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|
2,604 | 416 | 416 | {
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|
3,215 | 416 | 416 | {
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|
2,969 | 416 | 416 | {
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|
5,983 | 416 | 416 | {
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1
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|
3,249 | 416 | 416 | {
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1
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|
6,490 | 416 | 416 | {
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1
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|
4,925 | 416 | 416 | {
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1
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|
3,198 | 416 | 416 | {
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1
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|
6,759 | 416 | 416 | {
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1
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|
1,873 | 416 | 416 | {
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1
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|
4,277 | 416 | 416 | {
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180
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[
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1
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|
4,362 | 416 | 416 | {
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252
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[
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1
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} |
|
522 | 416 | 416 | {
"id": [
542
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210
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[
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"category": [
1
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} |
|
4,633 | 416 | 416 | {
"id": [
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375
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[
200,
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12.5,
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1
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|
4,915 | 416 | 416 | {
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176
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[
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1
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} |
|
6,908 | 416 | 416 | {
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297
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[
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1
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|
6,685 | 416 | 416 | {
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276
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1
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} |
|
5,970 | 416 | 416 | {
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288
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[
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1
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|
3,296 | 416 | 416 | {
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296
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1
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} |
|
4,112 | 416 | 416 | {
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129
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[
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1
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} |
|
799 | 416 | 416 | {
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97
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[
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6.5,
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1
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} |
|
3,703 | 416 | 416 | {
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3829
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91
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[
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1
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} |
|
6,894 | 416 | 416 | {
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119
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1
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|
6,166 | 416 | 416 | {
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123
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[
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1
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|
6,424 | 416 | 416 | {
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270
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1
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} |
|
2,289 | 416 | 416 | {
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259
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[
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1
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|
4,271 | 416 | 416 | {
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4421
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380
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[
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1
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|
659 | 416 | 416 | {
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1
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|
1,808 | 416 | 416 | {
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400
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1
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} |
|
3,442 | 416 | 416 | {
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475
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[
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1
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} |
|
1,138 | 416 | 416 | {
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1
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} |
|
998 | 416 | 416 | {
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783
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1
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} |
|
3,620 | 416 | 416 | {
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3740
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1652
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[
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1
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} |
|
5,253 | 416 | 416 | {
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1437
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[
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],
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1
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} |
|
2,166 | 416 | 416 | {
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2241
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1291
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20.5,
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1
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} |
|
6,886 | 416 | 416 | {
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1287
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[
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19.5,
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1
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|
117 | 416 | 416 | {
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1015
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1
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} |
|
5,061 | 416 | 416 | {
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1431
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1
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} |
|
2,615 | 416 | 416 | {
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2707
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1460
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[
165,
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16.5,
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1
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} |
|
1,248 | 416 | 416 | {
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1294
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2145
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[
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19.5,
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],
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1
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} |
|
2,851 | 416 | 416 | {
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2946
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1
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|
157 | 416 | 416 | {
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3081
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[
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1
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} |
|
2,146 | 416 | 416 | {
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2221
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3576
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28.5,
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1
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} |
|
655 | 416 | 416 | {
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6388
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1
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|
932 | 416 | 416 | {
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1503
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1
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|
665 | 416 | 416 | {
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1
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} |
|
3,091 | 416 | 416 | {
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1
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} |
|
6,333 | 416 | 416 | {
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11.5,
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1
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} |
|
1,215 | 416 | 416 | {
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1259
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435
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[
172,
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10.5,
41.5
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1
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} |
|
3,183 | 416 | 416 | {
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3293
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296
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[
176,
200,
7.5,
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]
],
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1
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} |
|
4,844 | 416 | 416 | {
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5013
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323
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[
184,
203,
8.5,
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]
],
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1
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} |
|
1,148 | 416 | 416 | {
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1190
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292
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[
190,
204,
8,
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]
],
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1
]
} |
|
3,480 | 416 | 416 | {
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3599
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213
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[
192,
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]
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1
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} |
|
97 | 416 | 416 | {
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195
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6.5,
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1
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} |
|
2,716 | 416 | 416 | {
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2810
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255
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[
186,
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8.5,
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],
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1
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} |
|
6,371 | 416 | 416 | {
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195
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190,
217,
6.5,
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1
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} |
|
1,840 | 416 | 416 | {
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1907
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168
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[
196,
219,
6,
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]
],
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1
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} |
|
2,157 | 416 | 416 | {
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2232
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351
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13,
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1
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} |
|
221 | 416 | 416 | {
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226
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175
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[
202,
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6.5,
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1
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} |
|
6,049 | 416 | 416 | {
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192
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1
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} |
|
1,654 | 416 | 416 | {
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105
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[
202,
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1
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} |
|
759 | 416 | 416 | {
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77
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[
203,
223,
5.5,
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1
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} |
|
6,657 | 416 | 416 | {
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96
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199,
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5.5,
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1
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} |
|
2,912 | 416 | 416 | {
"id": [
3008
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187
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[
200,
224,
7.5,
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],
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1
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} |
|
5,978 | 416 | 416 | {
"id": [
6192
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185
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[
195,
221,
7,
26.5
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],
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1
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} |
|
466 | 416 | 416 | {
"id": [
482
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159
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192,
221,
6,
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1
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} |
|
6,138 | 416 | 416 | {
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6361
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189
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[
191,
221,
7,
27
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],
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1
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} |
|
5,754 | 416 | 416 | {
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5956
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199
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178,
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7,
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3
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} |
|
6,410 | 416 | 416 | {
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6644
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185
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178,
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3
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} |
|
4,070 | 416 | 416 | {
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4209
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185
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[
178,
117,
6.5,
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3
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} |
|
2,611 | 416 | 416 | {
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2703
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185
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[
178,
117,
6.5,
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],
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3
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} |
|
4,033 | 416 | 416 | {
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4171
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206
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[
178,
117,
7,
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],
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3
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} |
|
6,451 | 416 | 416 | {
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6686
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203
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[
178,
117,
7,
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]
],
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3
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} |
|
4,990 | 416 | 416 | {
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5164
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165
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[
165,
207,
6,
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]
],
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3
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} |
|
2,695 | 416 | 416 | {
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2788
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165
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165,
223,
6,
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3
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} |
|
6,791 | 416 | 416 | {
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7042
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175
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168,
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6.5,
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3
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} |
|
3,434 | 416 | 416 | {
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3553
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148
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[
173,
224,
5.5,
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],
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3
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} |
|
4,493 | 416 | 416 | {
"id": [
4651
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330
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[
165,
224,
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27.5
]
],
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3
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} |
|
23 | 416 | 416 | {
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24
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135
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[
169,
227,
5,
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],
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3
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} |
|
6,123 | 416 | 416 | {
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6345
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350
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[
175,
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12.5,
28
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],
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3
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|
439 | 416 | 416 | {
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185
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3
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|
1,376 | 416 | 416 | {
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265
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3
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} |
|
5,682 | 416 | 416 | {
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5882
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240
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222,
8,
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3
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} |
|
5,050 | 416 | 416 | {
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5228
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315
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3
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} |
|
6,279 | 416 | 416 | {
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186
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3
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|
4,462 | 416 | 416 | {
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214
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3
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} |
|
503 | 416 | 416 | {
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521
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241
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3
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} |
|
215 | 416 | 416 | {
"id": [
220
],
"area": [
255
],
"bbox": [
[
170,
221,
7,
36.5
]
],
"category": [
3
]
} |
|
949 | 416 | 416 | {
"id": [
983
],
"area": [
437
],
"bbox": [
[
163,
220,
11.5,
38
]
],
"category": [
3
]
} |
|
6,911 | 416 | 416 | {
"id": [
7168
],
"area": [
285
],
"bbox": [
[
161,
220,
7.5,
38
]
],
"category": [
3
]
} |
|
0 | 416 | 416 | {
"id": [
0
],
"area": [
315
],
"bbox": [
[
180,
217,
9,
35
]
],
"category": [
3
]
} |
|
5,438 | 416 | 416 | {
"id": [
5630
],
"area": [
408
],
"bbox": [
[
185,
216,
12,
34
]
],
"category": [
3
]
} |
|
4,520 | 416 | 416 | {
"id": [
4680
],
"area": [
346
],
"bbox": [
[
184,
216,
10.5,
33
]
],
"category": [
3
]
} |
|
3,286 | 416 | 416 | {
"id": [
3398
],
"area": [
368
],
"bbox": [
[
182,
216,
11,
33.5
]
],
"category": [
3
]
} |
|
727 | 416 | 416 | {
"id": [
753
],
"area": [
422
],
"bbox": [
[
187,
215,
13,
32.5
]
],
"category": [
3
]
} |
['dropped spike', 'enemy', 'planted spike', 'teammate']
{'valid': 1983, 'train': 6927, 'test': 988}
pip install datasets
from datasets import load_dataset
ds = load_dataset("keremberke/valorant-object-detection", name="full")
example = ds['train'][0]
https://universe.roboflow.com/daniels-magonis-0pjzx/valorant-9ufcp/dataset/3
@misc{ valorant-9ufcp_dataset,
title = { valorant Dataset },
type = { Open Source Dataset },
author = { Daniels Magonis },
howpublished = { \\url{ https://universe.roboflow.com/daniels-magonis-0pjzx/valorant-9ufcp } },
url = { https://universe.roboflow.com/daniels-magonis-0pjzx/valorant-9ufcp },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { nov },
note = { visited on 2023-01-27 },
}
CC BY 4.0
This dataset was exported via roboflow.com on December 22, 2022 at 5:10 PM GMT
Roboflow is an end-to-end computer vision platform that helps you
It includes 9898 images. Planted are annotated in COCO format.
The following pre-processing was applied to each image:
No image augmentation techniques were applied.