Raphael Zurcher

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Trees

Object Detection

Trees Image Dataset

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Versions
2022-11-16 8:00pm
v20
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2 years ago
2022-11-16 7:57pm
v19
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2 years ago
2022-10-04 9:39am
v18
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2 years ago
For Mask R-CNN
v17
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2 years ago
noaug_67_2022-06-10 9:14am
v16
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2 years ago
noaug66_2022-06-09 9:27am
v15
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2 years ago
no_aug_63img_2022-05-31 1:36pm
v14
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2 years ago
noaug20_10split_2022-05-20 9:38am
v13
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2 years ago
trees_noaug_2022-05-12 9:29am
v12
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2 years ago
for_mask_rcnn
v11
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2 years ago
no_aug49_2022-05-06 11:34am
v10
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2 years ago
no_aug_2022-05-05 11:07am
v9
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2 years ago
bluraug_2022-05-05 11:06am
v8
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2 years ago
hueaug_2022-05-05 11:01am
v7
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2 years ago
grayscl_2022-05-05 10:57am
v6
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2 years ago
no_aug_2022-05-03
v5
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2 years ago
Trees_noaug_2022-04-28 3:39pm
v4
·
2 years ago
Trees_2022_04_22
v2
·
2 years ago
Augmented_Trees_22_04_2022
v1
·
2 years ago
v1

Augmented_Trees_22_04_2022

Generated on Apr 22, 2022
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64 Total Images

View All Images
Annotation VisualizationDataset Image

Dataset Split

Train Set 69%
44Images
Valid Set 19%
12Images
Test Set 13%
8Images

Preprocessing

Resize: Stretch to 416x416
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 1
Grayscale: Apply to 25% of images
Cutout: 12 boxes with 6% size each