Dataset Versions
Versions
2022-11-30 7:18pm
v11
· 2 years ago
2022-11-23 4:26pm
v10
· 2 years ago
2022-11-23 3:09pm
v9
· 2 years ago
2022-11-08 6:51pm
v8
· 2 years ago
2022-11-02 6:22pm
v7
· 2 years ago
2022-10-06 7:55pm
v6
· 2 years ago
2022-10-06 7:48pm
v5
· 2 years ago
2022-10-05 9:27pm
v4
· 2 years ago
2022-10-05 5:39pm
v3
· 2 years ago
2022-10-05 5:29pm
v2
· 2 years ago
2022-10-04 6:35pm
v1
· 2 years ago
v3
2022-10-05 5:39pm
Generated on Oct 5, 2022
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.
558 Total Images
View All Images
Dataset Split
Train Set 89%
498Images
Valid Set 10%
58Images
Test Set 0%
2Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Hue: Between -25° and +25°
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Blur: Up to 3px
Noise: Up to 3% of pixels