Dataset Versions
Versions
2023-07-23 6:03pm
v9
· a year ago
2023-07-13 7:36pm
v8
· a year ago
2023-07-10 10:31am
v7
· a year ago
2023-06-20 1:36am
v6
· 2 years ago
2023-06-15 4:02pm
v5
· 2 years ago
2023-06-14 11:47am
v4
· 2 years ago
2023-06-14 11:23am
v3
· 2 years ago
2023-05-07 2:59pm
v2
· 2 years ago
2023-05-07 11:55am
v1
· 2 years ago
v5
2023-06-15 4:02pm
Generated on Jun 15, 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.
401 Total Images
View All Images
Dataset Split
Train Set 96%
384Images
Valid Set 4%
17Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%