face_and_atk_detection Image Dataset
Versions
2022-06-09 12:59pm
v15
· 2 years ago
2022-06-09 12:59pm
v14
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2022-06-09 12:59pm
v13
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2022-06-09 12:58pm
v12
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v11
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v10
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v9
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v8
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v7
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v6
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v5
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v4
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v3
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v2
· 2 years ago
2022-06-09 12:57pm
v1
· 2 years ago
v15
2022-06-09 12:59pm
Generated on Jun 9, 2022
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
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293 Total Images
View All Images
Dataset Split
Train Set 99%
291Images
Valid Set %
0Images
Test Set 1%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 0.75px
Noise: Up to 3% of pixels
Cutout: 6 boxes with 5% size each
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