Dataset Versions
Versions
2022-12-23 11:59pm
v11
· 2 years ago
2022-12-23 11:08pm
v10
· 2 years ago
2022-12-23 7:08am
v9
· 2 years ago
2022-12-23 7:05am
v8
· 2 years ago
2022-12-22 3:12pm
v6
· 2 years ago
2022-12-22 1:02am
v5
· 2 years ago
2022-12-14 2:31am
v4
· 2 years ago
2022-12-13 10:23pm
v2
· 2 years ago
2022-12-13 8:32pm
v1
· 2 years ago
v9
2022-12-23 7:08am
Generated on Dec 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.
4983 Total Images
View All Images
Dataset Split
Train Set 87%
4311Images
Valid Set 8%
421Images
Test Set 5%
251Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±6° Horizontal, ±6° Vertical
Grayscale: Apply to 6% of images
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 3% of pixels
Cutout: 3 boxes with 10% size each