Dataset Versions
Versions
2023-10-06 2:58am
v11
· a year ago
2023-05-04 9:38pm
v10
· 2 years ago
2023-04-27 11:26pm
v9
· 2 years ago
2023-04-25 10:30pm
v8
· 2 years ago
2023-04-21 3:10am
v7
· 2 years ago
2023-04-14 2:23am
v6
· 2 years ago
2023-04-14 2:13am
v5
· 2 years ago
2023-04-13 4:05am
v4
· 2 years ago
2023-04-12 10:59am
v3
· 2 years ago
2023-04-12 2:11am
v2
· 2 years ago
2023-04-11 11:38pm
v1
· 2 years ago
v5
2023-04-14 2:13am
Generated on Apr 14, 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.
45 Total Images
View All Images
Dataset Split
Train Set 80%
36Images
Valid Set 9%
4Images
Test Set 11%
5Images
Preprocessing
Auto-Orient: Applied
Static Crop: 24-75% Horizontal Region, 13-75% Vertical Region
Resize: Stretch to 1280x1280
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Exposure: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%