Dataset Versions
Versions
2022-08-31 1:44pm
v15
· 2 years ago
2022-08-30 4:11pm
v13
· 2 years ago
2022-08-29 11:52am
v11
· 2 years ago
2022-08-27 7:06pm
v9
· 2 years ago
v8_gutter_validation
v8
· 2 years ago
v7_gutter_damage
v7
· 2 years ago
v6_gutter_no_validation
v6
· 2 years ago
2022-08-25 2:27pm
v4
· 2 years ago
Final_Train_Test
v3
· 2 years ago
2022-08-17 12:03pm
v2
· 2 years ago
2022-08-14 6:59pm
v1
· 2 years ago
v6
v6_gutter_no_validation
Generated on Aug 25, 2022
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv8.
YOLOv5
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.
Pascal VOC XML
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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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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780 Total Images
View All Images
Dataset Split
Train Set 92%
720Images
Valid Set %
0Images
Test Set 8%
60Images
Preprocessing
Static Crop: 33-67% Horizontal Region, 33-67% Vertical Region
Modify Classes: 0 remapped, 1 dropped
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Hue: Between -12° and +12°
Saturation: Between -18% and +18%
Exposure: Between -8% and +8%