Dataset Versions
Versions
2022-04-29 4:53am
v12
· 3 years ago
2022-04-29 4:52am
v11
· 3 years ago
2022-04-29 4:44am
v10
· 3 years ago
2022-04-29 4:30am
v9
· 3 years ago
2022-04-28 7:36pm
v8
· 3 years ago
2022-04-28 5:22pm
v7
· 3 years ago
2022-04-28 6:07am
v6
· 3 years ago
2022-04-28 5:35am
v5
· 3 years ago
2022-04-28 5:07am
v4
· 3 years ago
2022-04-28 4:42am
v3
· 3 years ago
group
v2
· 3 years ago
2022-04-24 3:46pm
v1
· 3 years ago
v7
2022-04-28 5:22pm
Generated on Apr 28, 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
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219 Total Images
View All Images
Dataset Split
Train Set 86%
189Images
Valid Set 8%
17Images
Test Set 6%
13Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Cutout: 3 boxes with 10% size each
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Brightness: Between -25% and +25%