Dataset Versions
Versions
2023-07-06 10:33am
v14
· a year ago
2023-07-05 9:00pm
v13
· a year ago
2023-06-27 8:54am
v12
· a year ago
2023-06-23 9:35am
v11
· 2 years ago
2023-06-22 1:55am
v10
· 2 years ago
2023-06-22 1:09am
v9
· 2 years ago
2023-06-22 1:07am
v8
· 2 years ago
2023-06-22 12:30am
v4
· 2 years ago
2023-06-22 12:22am
v3
· 2 years ago
2023-06-22 12:16am
v2
· 2 years ago
2023-06-20 12:33pm
v1
· 2 years ago
v1
2023-06-20 12:33pm
Generated on Jun 20, 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.
Other Formats
Choose another format.
1233 Total Images
View All Images
Dataset Split
Train Set 89%
1094Images
Valid Set 7%
84Images
Test Set 4%
55Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 2 rows x 2 columns
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Rotation: Between -17° and +17°
Grayscale: Apply to 25% of images
Hue: Between -109° and +109°
Saturation: Between -41% and +41%
Noise: Up to 5% of pixels
Mosaic: Applied
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Blur: Up to 2.5px