Dataset Analytics

Generated on October 14, 2024 at 4:09 pm.

Number of Images

7,776

Number of Annotations

21,259

Average Image Size

0.17 mp

Median Image Ratio

416x416
square

Class Balance

Overview of the number of annotations for each class in your dataset.

Classes

all
train
valid
test
6,162
2,138
1,935
1,542
tv
1,528
1,499
1,468
1,290
Under Represented
1,251
Under Represented
bed
1,114
Under Represented
1,109
Under Represented
223
Under Represented
4438
1379
1083
tv
1058
1032
1005
Under Represented
917
Under Represented
bed
763
Under Represented
763
Under Represented
165
Under Represented
1169
377
284
tv
317
312
300
250
Under Represented
bed
227
Under Represented
206
Under Represented
42
Under Represented
555
179
175
tv
153
155
163
Under Represented
84
Under Represented
bed
124
Under Represented
140
16
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.

All images are the same size, 416x416.

Aspect Ratio Distribution

The aspect ratio of your images compares the width vs. the height of your images.

square
7,776

Annotation Heatmap

Overview of where your annotations are located in the images in your dataset.

all
oven (1,542)
chair (6,162)
sink (1,935)
tv (1,528)
dining table (2,138)
toilet (1,251)
refrigerator (1,290)
microwave (1,109)
toaster (223)
bed (1,114)
couch (1,499)
laptop (1,468)

Histogram of Object Count by Image

Overview of how many classes are annotated in each image in your dataset.

all
oven
chair
sink
tv
dining table
toilet
refrigerator
microwave
toaster
bed
couch
laptop
    3802 imgs
    1901
  • 0
  • 1
  • 2-5
  • 6-9
  • 10-13
  • 14-17
  • 18-21
  • 22-25
  • 26-29
  • 30-33
  • 34-37
Count of all objects

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