Rail_Defects Dataset
Versions
2022-09-07 12:26pm
v9
· 2 years ago
2022-09-07 12:08pm
v8
· 2 years ago
2022-09-07 12:04pm
v7
· 2 years ago
2022-09-07 12:02pm
v6
· 2 years ago
2022-09-07 11:46am
v5
· 2 years ago
2022-09-07 11:29am
v4
· 2 years ago
2022-09-07 11:05am
v3
· 2 years ago
2022-09-07 9:44am
v2
· 2 years ago
2022-09-07 9:39am
v1
· 2 years ago
v7
2022-09-07 12:04pm
Generated on Sep 7, 2022
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.
Other Formats
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67 Total Images
View All ImagesDataset Split
Train Set 94%
63Images
Valid Set 6%
4Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1024x1024
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Brightness: Between -25% and +25%
Noise: Up to 1% of pixels
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