Dataset Versions
Versions
2023-07-25 4:33pm
v9
· a year ago
2023-07-24 5:16pm
v8
· a year ago
2023-07-24 5:16pm
v7
· a year ago
2023-07-24 5:16pm
v6
· a year ago
2023-07-24 5:16pm
v5
· a year ago
2023-07-24 5:16pm
v4
· a year ago
2023-07-24 5:16pm
v3
· a year ago
2023-07-24 5:16pm
v2
· a year ago
2023-07-24 5:11pm
v1
· a year ago
v8
2023-07-24 5:16pm
Generated on Jul 24, 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.
555 Total Images
View All Images
Dataset Split
Train Set 88%
486Images
Valid Set 8%
46Images
Test Set 4%
23Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Filter Null: Require at least 50% of images to contain annotations.
Augmentations
Outputs per training example: 3
Hue: Between -180° and +180°
Saturation: Between -35% and +35%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 2 boxes with 30% size each
Bounding Box: Noise: Up to 5% of pixels