Dataset Versions
Versions
2023-10-24 3:50pm
v9
· a year ago
2023-10-24 11:34am
v8
· a year ago
2023-09-28 5:01pm
v7
· a year ago
2023-09-24 1:32pm
v6
· a year ago
2023-09-07 1:04pm
v5
· a year ago
2023-06-22 1:29pm
v4
· a year ago
2023-06-18 7:45pm
v3
· a year ago
2023-06-18 7:44pm
v2
· a year ago
2023-06-18 7:31pm
v1
· a year ago
v8
2023-10-24 11:34am
Generated on Oct 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.
729 Total Images
View All Images
Dataset Split
Train Set 92%
669Images
Valid Set 8%
60Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Saturation: Between -14% and +14%
Brightness: Between -12% and +12%
Exposure: Between -8% and +8%
Blur: Up to 2.5px
Noise: Up to 2% of pixels
Cutout: 3 boxes with 10% size each