Dataset Versions
Versions
V15PFE
v15
· 9 months ago
2024-03-31 9:11am
v14
· 9 months ago
2024-03-31 9:07am
v13
· 9 months ago
2024-03-30 12:25pm
v12
· 9 months ago
versionpfe
v11
· 9 months ago
2024-03-30 11:40am
v10
· 9 months ago
2024-03-30 11:38am
v9
· 9 months ago
2024-03-29 4:52pm
v8
· 9 months ago
2024-03-29 4:41pm
v7
· 9 months ago
2024-03-29 3:21pm
v6
· 9 months ago
2024-03-29 3:18pm
v5
· 9 months ago
2024-03-29 3:18pm
v4
· 9 months ago
2024-03-29 2:43pm
v3
· 9 months ago
2024-03-29 2:36pm
v2
· 9 months ago
2024-03-29 2:32pm
v1
· 9 months ago
v10
2024-03-30 11:40am
Generated on Mar 30, 2024
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.
2451 Total Images
View All Images
Dataset Split
Train Set 89%
2178Images
Valid Set 11%
273Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 3% Maximum Zoom
Rotation: Between -4° and +4°
Shear: ±1° Horizontal, ±0° Vertical
Grayscale: Apply to 9% of images
Hue: Between -2° and +2°
Saturation: Between -1% and +1%
Brightness: Between -1% and +1%
Exposure: Between -8% and +8%
Blur: Up to 0.1px
Noise: Up to 0.06% of pixels
Cutout: 6 boxes with 10% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -2° and +2°
Bounding Box: Shear: ±3° Horizontal, ±1° Vertical
Bounding Box: Brightness: Between -5% and +5%
Bounding Box: Exposure: Between -5% and +5%
Bounding Box: Blur: Up to 0.5px
Bounding Box: Noise: Up to 0.06% of pixels