Dataset Versions
Versions
2023-11-23 11:37am
v9
· a year ago
2023-11-22 11:09pm
v8
· a year ago
2023-11-22 11:06pm
v7
· a year ago
2023-10-17 8:49pm
v6
· a year ago
2023-05-02 12:07am
v5
· 2 years ago
2023-04-30 11:11pm
v4
· 2 years ago
2023-04-29 11:39am
v3
· 2 years ago
2023-04-28 11:26pm
v2
· 2 years ago
2023-04-19 10:34pm
v1
· 2 years ago
v8
2023-11-22 11:09pm
Generated on Nov 22, 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.
1344 Total Images
View All Images
Dataset Split
Train Set 94%
1257Images
Valid Set 4%
57Images
Test Set 2%
30Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Noise: Up to 5% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Brightness: Between -25% and +25%