Container Damage Detection 6 (balanced auto ml) Image Dataset
v1
2023-07-23 4:26pm
Generated on Jul 23, 2023
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YOLOv9
TXT annotations and YAML config used with YOLOv9.
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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.
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960 Total Images
View All Images
Dataset Split
Train Set 90%
864Images
Valid Set 8%
77Images
Test Set 2%
19Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Grayscale: Apply to 10% of images
Brightness: Between -35% and +35%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 2% of pixels
Detection
385 images
Container
385 images
Container
114 images
Contrainer
385 images
Damage
738 images