Dataset Versions
Versions
2023-06-12 2:16pm
v20
· 2 years ago
16-boundingboxshear
v19
· 2 years ago
17-tile-not so impotant
v18
· 2 years ago
16-flip
v17
· 2 years ago
dataset renew
v16
· 2 years ago
resize640Auto-Adjust Contrast
v15
· 2 years ago
2023-05-26 1:49pm
v14
· 2 years ago
argumentationcutout
v13
· 2 years ago
resize960960
v9
· 2 years ago
2023-05-22 9:10pm
v8
· 2 years ago
first-dataset
v3
· 2 years ago
v13
argumentationcutout
Generated on May 26, 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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3508 Total Images
View All Images
Dataset Split
Train Set 90%
3153Images
Valid Set 9%
299Images
Test Set 2%
56Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Cutout: 2 boxes with 15% size each
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 5% of pixels