Dataset Versions
Versions
Counterfeit Biogesic Noise Augmented
v23
· a year ago
Counterfeit Biogesic Blur Augmented
v22
· a year ago
Counterfeit Biogesic Exposure Augmented
v21
· a year ago
Counterfeit Biogesic Brightness Augmented
v20
· a year ago
Counterfeit Biogesic Saturation Augmented
v19
· a year ago
Counterfeit Biogesic Shear Augmented
v18
· a year ago
Counterfeit Biogesic Rotation Augmented
v17
· a year ago
Counterfeit Biogesic Crop Augmented
v16
· a year ago
Counterfeit Biogesic Rotate Augmented
v15
· a year ago
Counterfeit Biogesic Flip Augmented
v14
· a year ago
Counterfeit Biogesic Not Augmented
v13
· a year ago
Authentic Bioflu Noise Augmented
v12
· a year ago
Authentic Bioflu Blur Augmented
v11
· a year ago
Authentic Bioflu Exposure Augmented
v10
· a year ago
Authentic Bioflu Brightness Augmented
v9
· a year ago
Authentic Bioflu Saturation Augmented
v8
· a year ago
Authentic Bioflu Shear Augmented
v7
· a year ago
Authentic Bioflu Rotation Augmented
v6
· a year ago
Authentic Bioflu Crop Augmented
v5
· a year ago
Authentic Bioflu Rotate Augmented
v4
· a year ago
Authentic Bioflu Not Augmented
v3
· a year ago
Authentic Bioflu Flip Augmented
v2
· a year ago
v9
Authentic Bioflu Brightness Augmented
Generated on Oct 25, 2023
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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.
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74 Total Images
View All ImagesDataset Split
Train Set 88%
65Images
Valid Set 8%
6Images
Test Set 4%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 380x380
Augmentations
Outputs per training example: 3
Brightness: Between -25% and +25%