Dataset Versions
Versions
2023-12-03 9:36pm
v27
· a year ago
2023-12-03 3:06pm
v24
· a year ago
30 epochs fliphori-rotate90-brightness-20-blur2px-noise5-cutout5 10-mosaic
v23
· a year ago
30 epochs fliphori-rotate90-brightness-20-blur2px-noise5-cutout5 10-mosaic
v22
· a year ago
30 epochs roate90 - brightness20 - blur2.5 - noise10 - cutout4 15 - mosaic
v21
· a year ago
50 epochs rotate90-brightness -20- blur2.5- noise10- cutout4 15- mosaic
v20
· a year ago
same as 15 but no mosaic 35 epochs
v19
· a year ago
v20
50 epochs rotate90-brightness -20- blur2.5- noise10- cutout4 15- mosaic
Generated on Nov 29, 2023
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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.
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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).
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TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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7366 Total Images
View All ImagesDataset Split
Train Set 87%
6444Images
Valid Set 8%
608Images
Test Set 4%
314Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Brightness: Between -20% and +20%
Blur: Up to 2.5px
Noise: Up to 10% of pixels
Cutout: 4 boxes with 15% size each
Mosaic: Applied