Dataset Versions
Versions
2024-10-12 8:20pm
v14
· a month ago
unit_test
v13
· a month ago
2024-09-30 8:20pm
v12
· 2 months ago
2024-09-09 2-49pm-NoBoundaryClasses
v10
· 3 months ago
2024-09-09 2-49pm-AllClasses
v9
· 3 months ago
YoloTrain-v4
v8
· 3 months ago
2024-09-07 3-00pm-NoBoundaryClasses
v7
· 3 months ago
2024-09-07 2-59pm-AllClasses
v6
· 3 months ago
2024-09-06 1:47pm
v5
· 3 months ago
Augmented_Ver.2
v3
· 7 months ago
2024-03-07 11:20am
v2
· 9 months ago
2024-02-16 3:41pm
v1
· 9 months ago
v6
2024-09-07 2-59pm-AllClasses
Generated on Sep 7, 2024
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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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.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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3071 Total Images
View All Images
Dataset Split
Train Set 88%
2688Images
Valid Set 8%
255Images
Test Set 4%
128Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 1280x800
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -23% and +23%
Blur: Up to 2px
Noise: Up to 0.97% of pixels