Dataset Versions
Versions
Augmented_Bigger_Dataset_V2
v9
· 2 years ago
Augmented_Bigger_Dataset_V1
v8
· 2 years ago
Augmented_Bigger_Dataset_V0
v7
· 2 years ago
Bigger_Dataset_V0
v6
· 2 years ago
Augmented_Data_v4
v5
· 3 years ago
Augmented_Data_v3
v4
· 3 years ago
Augmented_Data_v2
v3
· 3 years ago
Augmented_Data_v1
v2
· 3 years ago
Augmented_Data_v0
v1
· 3 years ago
v7
Augmented_Bigger_Dataset_V0
Generated on Jul 10, 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 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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1109 Total Images
View All Images
Dataset Split
Train Set 87%
969Images
Valid Set 8%
90Images
Test Set 5%
50Images
Preprocessing
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Rotation: Between -45° and +45°
Grayscale: Apply to 10% of images
Hue: Between -180° and +180°
Saturation: Between -60% and +60%
Brightness: Between -40% and +40%
Blur: Up to 2px