Dataset Versions
Versions
2024-08-19_wonsize
v9
· 3 months ago
2024-08-13_short_protec_add
v7
· 3 months ago
2024-08-13 2:34am
v6
· 3 months ago
2024-08-13_640xsize_noequalizer
v5
· 3 months ago
2024-08-13_Renewal
v4
· 3 months ago
2024-08-01 2:48am
v3
· 3 months ago
2024-08-01 2:46am
v2
· 3 months ago
2024-08-01 2:39am
v1
· 3 months ago
v4
2024-08-13_Renewal
Generated on Aug 13, 2024
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TXT annotations and YAML config used with YOLOv8.
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TXT annotations and YAML config used with YOLOv7.
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
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TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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153 Total Images
View All Images
Dataset Split
Train Set 80%
123Images
Valid Set 10%
16Images
Test Set 9%
14Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 320x240
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 5.01% of pixels
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Noise: Up to 5.01% of pixels