Dataset Versions
Versions
2022-10-27 9:17pm
v11
· 2 years ago
2022-10-27 8:34pm
v10
· 2 years ago
2022-08-22 5:18am
v9
· 2 years ago
2022-08-22 4:49am
v8
· 2 years ago
2022-08-22 4:47am
v7
· 2 years ago
2022-07-24 4:08pm
v6
· 2 years ago
2022-07-23 9:25pm
v5
· 2 years ago
2022-07-23 9:21pm
v4
· 2 years ago
2022-07-23 9:09pm
v3
· 2 years ago
2022-07-23 9:05pm
v2
· 2 years ago
2022-07-23 5:36pm
v1
· 2 years ago
v2
2022-07-23 9:05pm
Generated on Jul 23, 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.
108 Total Images
View All Images
Dataset Split
Train Set 86%
93Images
Valid Set 8%
9Images
Test Set 6%
6Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 19% Maximum Zoom
Grayscale: Apply to 9% of images
Hue: Between -180° and +180°
Noise: Up to 10% of pixels