Dataset Versions
Versions
2023-12-02 10:09am
v10
· a year ago
2023-12-02 10:08am
v9
· a year ago
2023-10-22 7:05pm
v8
· a year ago
2023-10-22 6:52pm
v7
· a year ago
2023-10-07 10:12am
v6
· a year ago
2023-10-05 9:45pm
v5
· a year ago
2023-10-05 9:39pm
v4
· a year ago
2023-07-16 6:43pm
v3
· a year ago
2023-07-10 10:59am
v2
· a year ago
2023-07-10 10:36am
v1
· a year ago
v1
2023-07-10 10:36am
Generated on Jul 10, 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.
9048 Total Images
View All Images
Dataset Split
Train Set 92%
8364Images
Valid Set 8%
684Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: Exposure: Between -25% and +25%