Compiled Mixed Container Damage Image Dataset
Versions
2023-08-21 5:03pm
v11
Aug 21, 2023
2023-08-18 1:19pm
v9
Aug 18, 2023
2023-08-18 1:09pm
v8
Aug 18, 2023
2023-08-18 1:04pm
v7
Aug 18, 2023
2023-08-18 12:43pm
v5
Aug 18, 2023
2023-08-13 1:15pm
v4
Aug 13, 2023
2023-08-08 1:12pm
v3
Aug 8, 2023
2023-08-08 12:54pm
v2
Aug 8, 2023
2023-08-08 12:43am
v1
Aug 7, 2023
v5
2023-08-18 12:43pm
Generated on Aug 18, 2023
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
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.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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1999 Total Images
View All Images
Dataset Split
Train Set 86%
1712Images
Valid Set 11%
211Images
Test Set 4%
76Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -20° and +20°
Brightness: Between -25% and +25%
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