Dataset Versions
Versions
Sign_test
v14
· 2 years ago
Person_test
v13
· 2 years ago
All classes for test unaugmented
v12
· 2 years ago
All classes for test augmented
v11
· 2 years ago
no tree
v10
· 2 years ago
2022-11-09 1:34pm
v9
· 2 years ago
Augmented_1
v8
· 2 years ago
Augmented
v7
· 2 years ago
2022-10-17 5:52am
v6
· 2 years ago
2022-10-17 1:32am
v5
· 2 years ago
2022-10-17 1:31am
v4
· 2 years ago
2022-10-10 3:18am
v3
· 2 years ago
2022-08-10 3:30am
v2
· 2 years ago
2022-08-10 3:30am
v1
· 2 years ago
v2
2022-08-10 3:30am
Generated on Aug 9, 2022
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TXT annotations and YAML config used with YOLOv8.
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TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
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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.
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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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897 Total Images
View All Images
Dataset Split
Train Set 100%
897Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Noise: Up to 5% of pixels