Dataset Versions
Versions
date_pd3
v26
· 2 years ago
date-pd2
v25
· 2 years ago
date-pd
v24
· 2 years ago
date_again4
v23
· 2 years ago
data_again3
v22
· 2 years ago
date_again2
v21
· 2 years ago
date_again
v20
· 2 years ago
real_pure-No_downSample-
v19
· 2 years ago
exp14
v18
· 2 years ago
no_pure
v17
· 2 years ago
pure_x2
v12
· 2 years ago
pure_x3_last
v11
· 2 years ago
pureX3
v10
· 2 years ago
pure_all_reboot
v9
· 2 years ago
pure_all
v7
· 2 years ago
pure
v6
· 2 years ago
2022-07-18 2:30pm
v5
· 2 years ago
2022-07-18 2:23pm
v4
· 2 years ago
2022-07-18 1:32pm
v3
· 2 years ago
2022-07-15 10:45am
v1
· 2 years ago
v17
no_pure
Generated on Jul 29, 2022
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TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv8.
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TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
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Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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1410 Total Images
View All Images
Dataset Split
Train Set 82%
1162Images
Valid Set 11%
159Images
Test Set 6%
89Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1286x1809
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 2
Noise: Up to 4% of pixels
Bounding Box: Rotation: Between -5° and +5°