Dataset Versions
Versions
SEPT2024_v1
v23
· 2 months ago
v22-89-0-11_3pre_aug_rota-2x
v22
· 5 months ago
v21_95-0-5_3pre_aug_rota-2x
v21
· 5 months ago
Subset2 of v18 - 89 11
v20
· 5 months ago
Subset1 of v18 - 91 9
v19
· 5 months ago
v18_80-0-20_3pre_aug_rota-2x
v18
· 5 months ago
v17_88-1-10_2pre-aug-rota-2x
v17
· 6 months ago
v12_70-10-20_2pre-aug_rota-2x
v12
· 7 months ago
v11-70-10-20-2pre-aug_flip-2x
v11
· 7 months ago
v10_70-10-20-3pre-2aug-2x
v10
· 7 months ago
v9-70-10-20-3pre-aug-2x
v9
· 7 months ago
v8-70-10-20-3pre-aug-2x
v8
· 7 months ago
v6-70-10-20-3pre
v6
· 7 months ago
v5-70-10-20 - no pre- no aug - 1x
v5
· 7 months ago
v4-70-10-20-pre
v4
· 7 months ago
v3-40-30-30-pre-aug
v3
· 7 months ago
V2-40-30-30-pre
v2
· 7 months ago
V1-40-30-30
v1
· 7 months ago
v3
v3-40-30-30-pre-aug
Generated on Apr 15, 2024
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
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TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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741 Total Images
View All Images
Dataset Split
Train Set 67%
494Images
Valid Set 17%
123Images
Test Set 17%
124Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Rotation: Between -5° and +5°
Saturation: Between -5% and +5%
Brightness: Between -5% and +5%