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valorant-object-detection-r9qkl/22 (latest)
Dataset Analytics
Generated on January 21, 2024 at 7:08 pm.
Number of Images
10,305
Number of Annotations
16,037
Average Image Size
2.07 mp
Median Image Ratio
1920x1080
wide
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
all
train
valid
test
6,159
454
402
366
279
277
272
268
256
250
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Under Represented
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214
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Under Represented
211
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Under Represented
167
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Under Represented
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Under Represented
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Under Represented
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Under Represented
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Under Represented
100
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Under Represented
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Under Represented
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Under Represented
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Under Represented
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Under Represented
79
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Under Represented
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Under Represented
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71
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69
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Under Represented
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Under Represented
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Under Represented
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Under Represented
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Under Represented
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Under Represented
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Under Represented
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Under Represented
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Under Represented
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Under Represented
28
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Under Represented
4558
329
287
257
223
210
199
197
197
196
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Under Represented
161
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Under Represented
170
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Under Represented
121
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Under Represented
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Under Represented
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Under Represented
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Under Represented
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Under Represented
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Under Represented
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Under Represented
67
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Under Represented
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Under Represented
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Under Represented
57
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Under Represented
52
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Under Represented
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Under Represented
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Under Represented
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Under Represented
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Under Represented
18
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Under Represented
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Under Represented
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Under Represented
1072
82
78
74
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Under Represented
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Under Represented
45
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Under Represented
52
43
34
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Under Represented
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Under Represented
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Under Represented
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Under Represented
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Under Represented
31
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Under Represented
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Under Represented
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Under Represented
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Under Represented
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Under Represented
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Under Represented
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Under Represented
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Under Represented
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Under Represented
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Under Represented
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Under Represented
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Under Represented
15
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Under Represented
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Under Represented
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Under Represented
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Under Represented
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Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
529
43
37
35
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Under Represented
22
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Under Represented
21
16
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Under Represented
20
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Under Represented
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Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
15
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Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
This class is missing from the split. Add more images with this class to balance the
dataset.
Missing
Dimension Insights
Overview of the sizes and aspect ratios of the images in your dataset.
Size Distribution
Sizes are based on the number of pixels in your images.
The purple box indicates the median width by median height image (1920x1080).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
wide
10,302
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
Enemy (6,159)
Reyna (Enemy/Yellow) (816)
Kayo (Ally) (71)
Chamber (Enemy/Purple) (86)
Skye (Enemy/Yellow) (436)
Kayo (Enemy/Yellow) (329)
Gekko (Enemy/Yellow) (260)
Yoru (Enemy/Yellow) (377)
Astra (Ally) (272)
Brim (Ally) (256)
Raze (Enemy/Yellow) (236)
Cypher (Enemy/Yellow) (97)
Viper (Enemy\Yellow) (445)
Headshot splash (268)
Neon (Enemy/Yellow) (277)
Deadlock (Enemy/Yellow) (386)
Cypher (Ally) (100)
Breach (Ally) (279)
Phoenix (Ally) (214)
Sage (Ally) (402)
Sage (Enemy/Yellow) (592)
Jett (Ally) (277)
Omen (Enemy/Yellow) (145)
Viper (Enemy/Purple) (54)
Sova (Ally) (69)
Neon (Ally) (366)
Iso (Enemy/Yellow) (223)
Brim (Enemy/Yellow) (158)
Sova (Enemy/Purple) (54)
Viper (Ally) (167)
Sova (Enemy/Yellow) (224)
Sage (Enemy/Red) (62)
Viper (Enemy/Red) (61)
Raze (Ally) (454)
Deadlock (Ally) (211)
Harbor (Enemy/Yellow) (124)
Omen (Ally) (79)
Chamber (Enemy/Yellow) (42)
Jett (Enemy/Purple) (85)
Phoenix (Enemy/Yellow) (72)
Reyna (Ally) (250)
Breach (Enemy/Yellow) (110)
Reyna (Enemy/Purple) (36)
Jett (Enemy/Yellow) (66)
Fade (Enemy/Yellow) (71)
Killjoy (Enemy/Yellow) (42)
Chamber (Ally) (18)
Jett (Enemy/Red) (43)
Reyna (Enemy/Red) (83)
Sage (Enemy/Purple) (4)
Skye (Ally) (28)
Neon -Ally- (1)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
Enemy
Reyna (Enemy/Yellow)
Kayo (Ally)
Chamber (Enemy/Purple)
Skye (Enemy/Yellow)
Kayo (Enemy/Yellow)
Gekko (Enemy/Yellow)
Yoru (Enemy/Yellow)
Astra (Ally)
Brim (Ally)
Raze (Enemy/Yellow)
Cypher (Enemy/Yellow)
Viper (Enemy\Yellow)
Headshot splash
Neon (Enemy/Yellow)
Deadlock (Enemy/Yellow)
Cypher (Ally)
Breach (Ally)
Phoenix (Ally)
Sage (Ally)
Sage (Enemy/Yellow)
Jett (Ally)
Omen (Enemy/Yellow)
Viper (Enemy/Purple)
Sova (Ally)
Neon (Ally)
Iso (Enemy/Yellow)
Brim (Enemy/Yellow)
Sova (Enemy/Purple)
Viper (Ally)
Sova (Enemy/Yellow)
Sage (Enemy/Red)
Viper (Enemy/Red)
Raze (Ally)
Deadlock (Ally)
Harbor (Enemy/Yellow)
Omen (Ally)
Chamber (Enemy/Yellow)
Jett (Enemy/Purple)
Phoenix (Enemy/Yellow)
Reyna (Ally)
Breach (Enemy/Yellow)
Reyna (Enemy/Purple)
Jett (Enemy/Yellow)
Fade (Enemy/Yellow)
Killjoy (Enemy/Yellow)
Chamber (Ally)
Jett (Enemy/Red)
Reyna (Enemy/Red)
Sage (Enemy/Purple)
Skye (Ally)
Neon -Ally-
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0
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1
-
2
-
3
-
4
-
5
-
6
-
7
-
8
4315 imgs
2157.5