Dataset Versions
Versions
newest 3x data augmentation
v9
· 2 years ago
3x Data Augmentation
v8
· 2 years ago
2022-07-26 11:27am
v7
· 2 years ago
plain dataset
v6
· 2 years ago
Augmented dataset
v5
· 2 years ago
2022-07-25 12:58pm
v4
· 2 years ago
2022-07-25 12:56pm
v3
· 2 years ago
2022-07-25 12:49pm
v2
· 2 years ago
2022-07-22 3:55pm
v1
· 2 years ago
v2
2022-07-25 12:49pm
Generated on Jul 25, 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.
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831 Total Images
View All Images
Dataset Split
Train Set 100%
831Images
Valid Set %
0Images
Test Set %
0Images
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
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -35% and +35%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 2% of pixels
Mosaic: Applied