Dataset Versions
Versions
2021-08-26 10:03am
v11
· 3 years ago
2021-08-24 5:55pm
v10
· 3 years ago
2021-08-24 4:34pm
v9
· 3 years ago
2021-08-24 9:27am
v8
· 3 years ago
2021-08-23 5:48pm
v7
· 3 years ago
2021-08-19 3:24pm
v6
· 3 years ago
2021-08-19 3:04pm
v5
· 3 years ago
2021-08-18 11:18am
v4
· 3 years ago
2021-08-18 11:04am
v3
· 3 years ago
2021-08-17 6:24pm
v2
· 3 years ago
2021-08-17 5:07pm
v1
· 3 years ago
v11
2021-08-26 10:03am
Generated on Aug 26, 2021
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.
381 Total Images
View All Images
Dataset Split
Train Set 90%
342Images
Valid Set 7%
28Images
Test Set 3%
11Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 416x416
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Exposure: Between -25% and +25%