Dataset Versions
Versions
2022-11-08 10:11am
v15
· 2 years ago
2022-07-20 12:04am
v14
· 2 years ago
2022-07-18 3:46pm
v13
· 2 years ago
2022-07-13 9:43pm
v12
· 2 years ago
2022-07-13 2:11pm
v11
· 2 years ago
2022-07-13 1:45pm
v10
· 2 years ago
2022-07-09 11:33pm
v8
· 2 years ago
2022-07-07 11:12pm
v7
· 2 years ago
2022-07-07 11:09pm
v6
· 2 years ago
v8
2022-07-09 11:33pm
Generated on Jul 9, 2022
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.
Other Formats
Choose another format.
6468 Total Images
View All Images
Dataset Split
Train Set 90%
5820Images
Valid Set 7%
460Images
Test Set 3%
188Images
Preprocessing
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
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
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 5% of pixels
Mosaic: Applied