Dataset Versions
Versions
stretch grayscale
v9
· 2 years ago
stretch
v8
· 2 years ago
w-o grayscale 416x312
v7
· 2 years ago
w grayscale 416x312
v6
· 2 years ago
w grayscale but no fit within
v5
· 2 years ago
w-o grayscale but no fit within
v4
· 2 years ago
w-o grayscale
v3
· 2 years ago
grayscale
v2
· 2 years ago
original no preprocessing
v1
· 2 years ago
v6
w grayscale 416x312
Generated on Mar 22, 2023
Popular Download Formats
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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2646 Total Images
View All Images
Dataset Split
Train Set 92%
2442Images
Valid Set %
0Images
Test Set 8%
204Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 416x312
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%