Ritsumeikan University

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TACO_v2

Instance Segmentation

TACO_v2 Image Dataset

Versions
version7_2023-01-24
v7
Jan 24, 2023
version7 2023_01_22
v6
Jan 22, 2023
version6_noaug_v2_2023-01-21
v5
Jan 21, 2023
-version6_noaugmentations-2023-01-21
v4
Jan 21, 2023
version6_augmentations_2023-01-20
v3
Jan 20, 2023
2023-01-20 11-13am -version 5-
v2
Jan 20, 2023
2022-11-21 12:54pm
v1
Nov 21, 2022
v3

version6_augmentations_2023-01-20

Generated on Jan 20, 2023
Download Dataset

4497 Total Images

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Dataset Split

Train Set 100%
4497Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Modify Classes: 55 remapped, 5 dropped

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%