Dataset Versions
Versions
2023-09-26 2:36pm
v10
· a year ago
2023-09-26 2:10pm
v9
· a year ago
final version
v8
· a year ago
2023-09-25 10:56pm
v7
· a year ago
2023-09-25 10:56pm
v6
· a year ago
without_augment_segmentation
v5
· a year ago
2023-09-25 1:43pm
v4
· a year ago
2023-09-25 1:05pm
v3
· a year ago
2023-09-24 10:39pm
v2
· a year ago
2023-09-01 1:25pm
v1
· a year ago
v3
2023-09-25 1:05pm
Generated on Sep 25, 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.
328 Total Images
View All ImagesDataset Split
Train Set 88%
288Images
Valid Set 8%
27Images
Test Set 4%
13Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -38° and +38°
Shear: ±24° Horizontal, ±21° Vertical
Grayscale: Apply to 77% of images
Hue: Between -25° and +25°
Bounding Box: Exposure: Between -25% and +25%