Dataset Versions
Versions
2023-06-19 9:18pm
v9
· 2 years ago
2023-06-19 9:08pm
v8
· 2 years ago
2023-06-19 8:56pm
v7
· 2 years ago
2023-06-19 7:11pm
v6
· 2 years ago
2023-06-19 7:10pm
v5
· 2 years ago
2023-06-19 7:04pm
v4
· 2 years ago
2023-06-19 4:48pm
v3
· 2 years ago
2023-06-19 4:05pm
v2
· 2 years ago
2023-06-19 3:58pm
v1
· 2 years ago
v6
2023-06-19 7:11pm
Generated on Jun 20, 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.
407 Total Images
View All Images
Dataset Split
Train Set 89%
364Images
Valid Set 6%
24Images
Test Set 5%
19Images
Preprocessing
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 1 remapped, 1 dropped
Augmentations
Outputs per training example: 7
Hue: Between -8° and +8°
Saturation: Between -30% and +30%
Brightness: Between -6% and +6%
Exposure: Between -8% and +8%
Cutout: 4 boxes with 10% size each