Dataset Versions
Versions
v3_618-618 without auto orient and 90 degree bound box
v8
· 3 years ago
v3_618-618
v6
· 3 years ago
v2_768-768-2.2
v5
· 3 years ago
v2_768-768-2.1 without noise
v4
· 3 years ago
v2_-768-768-2.0 without tiles
v3
· 3 years ago
v2_768-768 with tiles
v2
· 3 years ago
V1_Orignal dataset Without Modifications
v1
· 3 years ago
v6
v3_618-618
Generated on Oct 29, 2021
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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1193 Total Images
View All Images
Dataset Split
Train Set 88%
1050Images
Valid Set 8%
100Images
Test Set 4%
43Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 618x618
Augmentations
Outputs per training example: 3
Grayscale: Apply to 20% of images
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Blur: Up to 6px