Dataset Versions
Versions
for model training
v16
· 2 years ago
656 train image - correction
v15
· 2 years ago
123 test images - correction
v14
· 2 years ago
500 images - label assist
v13
· 2 years ago
1000 images - no label assist
v11
· 2 years ago
2023-03-01 11:55am
v10
· 2 years ago
2023-02-23 11:53am
v9
· 2 years ago
2023-02-08 10:40am
v8
· 2 years ago
500 images - trains label assist model
v7
· 2 years ago
2023-01-31 5:38pm
v6
· 2 years ago
2023-01-26 1:12pm
v5
· 2 years ago
v7
500 images - trains label assist model
Generated on Jan 31, 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.
1121 Total Images
View All Images
Dataset Split
Train Set 88%
981Images
Valid Set 6%
70Images
Test Set 6%
70Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -20% and +20%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 1% of pixels