Dataset Versions
Versions
no auto-orient - rotazione 15
v13
· 9 months ago
no auto-orient
v12
· 9 months ago
less augmentation
v11
· 10 months ago
less preprocess
v10
· 10 months ago
more images - balanced
v9
· 10 months ago
less noise
v8
· 10 months ago
Try with noise
v7
· 10 months ago
2024-02-06 4:01pm
v6
· 10 months ago
2024-02-05 6:49pm
v5
· 10 months ago
2024-02-05 6:40pm
v4
· 10 months ago
Controllata ma senza validation
v3
· 10 months ago
2024-01-30 1:27pm
v2
· 10 months ago
2024-01-30 12:42pm
v1
· 10 months ago
v12
no auto-orient
Generated on Feb 15, 2024
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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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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TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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1489 Total Images
View All Images
Dataset Split
Train Set 90%
1344Images
Valid Set 10%
145Images
Test Set %
0Images
Preprocessing
Resize: Fit (black edges) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -45° and +45°
Grayscale: Apply to 25% of images
Noise: Up to 0.5% of pixels