Dataset Versions
Versions
2022-10-22 5:24pm
v9
· 2 years ago
2022-10-22 5:19pm
v8
· 2 years ago
2022-10-22 5:17pm
v7
· 2 years ago
2022-10-22 5:16pm
v6
· 2 years ago
2022-10-22 4:50pm
v5
· 2 years ago
2022-09-20 7:19pm
v4
· 2 years ago
2022-09-20 7:09pm
v3
· 2 years ago
2022-09-20 7:01pm
v2
· 2 years ago
2022-09-20 6:53pm
v1
· 2 years ago
v7
2022-10-22 5:17pm
Generated on Oct 22, 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.
340 Total Images
View All Images
Dataset Split
Train Set 88%
300Images
Valid Set 4%
15Images
Test Set 7%
25Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each