rail_anomaly_detection Dataset
Versions
2024-05-09 10:18pm
v15
· 2 months ago
2023-11-23 8:34pm
v8
· 7 months ago
2023-11-23 8:15pm
v7
· 7 months ago
2023-11-23 6:19pm
v6
· 7 months ago
2023-11-19 3:37pm
v5
· 8 months ago
2023-11-16 7:15pm
v4
· 8 months ago
2023-10-31 12:01pm
v3
· 8 months ago
2023-10-07 8:06am
v2
· 9 months ago
2023-10-06 9:47pm
v1
· 9 months ago
v5
2023-11-19 3:37pm
Generated on Nov 19, 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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6036 Total Images
View All Images
Dataset Split
Train Set 88%
5283Images
Valid Set 8%
503Images
Test Set 4%
250Images
Preprocessing
Resize: Stretch to 160x160
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -28° and +28°
Saturation: Between -25% and +25%
Brightness: Between -21% and +21%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 1% of pixels
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