Dataset Versions
Versions
2024-02-02 8:27am
v57
· a year ago
2024-01-29 1:43pm
v55
· a year ago
2024-01-26 10:13am
v54
· a year ago
2024-01-25 11:27pm
v53
· a year ago
2024-01-22 3:15pm
v47
· a year ago
2024-01-22 2:19pm
v41
· a year ago
2024-01-15 1:23pm
v38
· a year ago
2024-01-15 12:39pm
v37
· a year ago
2024-01-15 1:03am
v36
· a year ago
2024-01-15 12:26am
v35
· a year ago
2024-01-11 6:57am
v8
· a year ago
2024-01-10 4:02pm
v6
· a year ago
2024-01-10 3:12pm
v5
· a year ago
2024-01-10 7:05am
v4
· a year ago
2024-01-10 6:51am
v3
· a year ago
2024-01-10 6:49am
v2
· a year ago
v35
2024-01-15 12:26am
Generated on Jan 14, 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.
4425 Total Images
View All ImagesDataset Split
Train Set 96%
4236Images
Valid Set 2%
82Images
Test Set 2%
107Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±9° Horizontal, ±10° Vertical
Grayscale: Apply to 41% of images
Hue: Between -53° and +53°
Saturation: Between -41% and +41%
Brightness: Between -40% and +40%
Exposure: Between -37% and +37%
Blur: Up to 10.9px
Noise: Up to 10% of pixels
Cutout: 10 boxes with 19% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Crop: 0% Minimum Zoom, 16% Maximum Zoom
Bounding Box: Rotation: Between -17° and +17°
Bounding Box: Shear: ±8° Horizontal, ±11° Vertical
Bounding Box: Brightness: Between -40% and +40%
Bounding Box: Exposure: Between -30% and +30%
Bounding Box: Blur: Up to 1.3px
Bounding Box: Noise: Up to 2% of pixels