Dataset Analytics
Generated on August 19, 2022 at 5:21 pm.
Number of Images
5,509
Number of Annotations
17,972
Average Image Size
2.07 mp
Median Image Ratio
1080x1908
tall
Class Balance
Overview of the number of annotations for each class in your dataset.
Classes
2,803
1,903
1,365
1,349
1,218
1,074
1,066
653
589
581
552
480
430
357
276
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
231
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
225
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
200
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
188
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
173
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
171
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
167
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
166
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
165
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
160
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
140
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
138
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
131
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
129
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
117
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
116
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
109
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
105
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
105
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
103
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
2
Add more images with this class to improve the model's ability to learn and predict it.
Under Represented
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 (1080x1908).
Aspect Ratio Distribution
The aspect ratio of your images compares the width vs. the height of your images.
tall
1,970
square
118
wide
3,369
very wide
45
> 1.5:1
extremely wide
7
> 2.5:1
Annotation Heatmap
Overview of where your annotations are located in the images in your dataset.
all
Female_Washroom (105)
Lamp_Post (1,066)
Palm_Tree (1,903)
Table (1,218)
Stairs (552)
Chair (2,803)
Tree (581)
Umbrella (357)
Building (1,349)
Water_Fountain (276)
Male_Washroom (117)
Basketball_court (160)
Awning (171)
Vending_machine (103)
Sign_board (131)
Shower (105)
Sea (109)
Rail (140)
Boardwalk (138)
Pedestian_Underpass (129)
Bench (653)
Recycling_Center (166)
Flower (480)
Garbage_bin (165)
Cobblestone (225)
Bush (129)
Grass (231)
Bicycle (589)
Cycle_track (116)
Play_area (188)
Beach_chair (430)
Lifeguard (200)
Golf_cart (173)
Electric_scooter (167)
Boat (1,074)
Fitness_equipment (106)
Flag (1,365)
d (2)
Histogram of Object Count by Image
Overview of how many classes are annotated in each image in your dataset.
all
Female_Washroom
Lamp_Post
Palm_Tree
Table
Stairs
Chair
Tree
Umbrella
Building
Water_Fountain
Male_Washroom
Basketball_court
Awning
Vending_machine
Sign_board
Shower
Sea
Rail
Boardwalk
Pedestian_Underpass
Bench
Recycling_Center
Flower
Garbage_bin
Cobblestone
Bush
Grass
Bicycle
Cycle_track
Play_area
Beach_chair
Lifeguard
Golf_cart
Electric_scooter
Boat
Fitness_equipment
Flag
d
-
0
-
1
-
2-8
-
9-15
-
16-22
-
23-29
-
30-36
-
37-43
-
44-50
-
51-57
-
58-64
3104 imgs
1552