Object detection for use on rail road vehicles Image Dataset
v5
2023-03-10 2:55pm
Generated on Mar 10, 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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948 Total Images
View All Images
Dataset Split
Train Set 88%
837Images
Valid Set 8%
76Images
Test Set 4%
35Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 1 dropped
Augmentations
Outputs per training example: 3
Grayscale: Apply to 40% of images
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Blur: Up to 10px
SNCFworker
1743 images
person
3428 images
person
3424 images
hats-vests-shirts
33 images
railroad-worker
5064 images