Dataset Versions
Versions
FAST-10xAugmentation_fitBlackEdges
v7
· 2 years ago
FAST-10xAugmentation_withMosaic_fitBlackEdges
v6
· 2 years ago
FAST-10xAugmentation
v5
· 2 years ago
FAST-10xAugmentation_withMosaic
v4
· 2 years ago
augmented version 1 - ACCURATE
v3
· 3 years ago
augmented version 1 - FAST
v2
· 3 years ago
raw-images
v1
· 3 years ago
v7
FAST-10xAugmentation_fitBlackEdges
Generated on Sep 1, 2022
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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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.
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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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5777 Total Images
View All Images
Dataset Split
Train Set 96%
5540Images
Valid Set 3%
157Images
Test Set 1%
80Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 416x416
Augmentations
Outputs per training example: 10
Rotation: Between -10° and +10°
Grayscale: Apply to 10% of images
Hue: Between -25° and +25°
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 1px
Cutout: 6 boxes with 3% size each