Dataset Versions
Versions
resize416x416-aug3x-TrainTestSplitOnly
v24
· 2 years ago
resize640x640-aug3x-TrainTestSplitOnly
v23
· 2 years ago
resize416x416-aug3x
v22
· 2 years ago
YOLOv5s
v21
· 2 years ago
raw-images_resized640
v20
· 2 years ago
YOLOv8
v18
· 2 years ago
v2-resize640_augmented3x
v15
· 2 years ago
resize640_augmented3x
v14
· 2 years ago
v2-roboflow-FAST-model
v13
· 2 years ago
2022-10-08 1:48pm
v12
· 2 years ago
raw-images_Updated
v9
· 3 years ago
roboflow-FAST-model
v7
· 3 years ago
resize_whiteEdges-v2
v5
· 3 years ago
resize_whiteEdges-augmented
v4
· 3 years ago
augmented-v2
v3
· 3 years ago
augmented-images-v1
v2
· 3 years ago
raw-images
v1
· 3 years ago
v2
augmented-images-v1
Generated on Dec 14, 2021
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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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CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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2083 Total Images
View All Images
Dataset Split
Train Set 88%
1824Images
Valid Set 8%
173Images
Test Set 4%
86Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -5° and +5°
Shear: ±2° Horizontal, ±2° Vertical
Hue: Between -10° and +10°
Saturation: Between -10% and +10%
Exposure: Between -10% and +10%