Dataset Versions
Versions
2024-01-08 2:43pm
v11
· a year ago
2024-01-08 2:00pm
v10
· a year ago
2023-12-18 1:54pm
v9
· a year ago
2023-12-18 1:52pm
v8
· a year ago
2023-12-18 1:50pm
v7
· a year ago
2023-12-13 12:23am
v6
· a year ago
2023-08-10 2:23pm
v4
· a year ago
2023-07-21 7:39pm
v3
· a year ago
2023-07-21 10:45am
v2
· a year ago
2023-07-20 9:33pm
v1
· a year ago
v6
2023-12-13 12:23am
Generated on Dec 12, 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.
700 Total Images
View All ImagesDataset Split
Train Set 86%
600Images
Valid Set 7%
50Images
Test Set 7%
50Images
Preprocessing
Tile: 5 rows x 5 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Brightness: Between -25% and +25%
Blur: Up to 5.5px