Dataset Versions
Versions
2023-05-18 4:02pm
v19
· a year ago
2023-05-17 9:14pm
v18
· a year ago
2023-05-07 3:12am
v17
· 2 years ago
2023-03-20 7:55pm
v16
· 2 years ago
2023-03-20 4:07pm
v15
· 2 years ago
2023-03-20 3:48pm
v14
· 2 years ago
2023-03-19 3:04pm
v13
· 2 years ago
2023-03-11 4:17pm
v12
· 2 years ago
2023-03-11 4:13pm
v11
· 2 years ago
2023-03-10 9:19pm
v10
· 2 years ago
2023-03-10 9:15pm
v9
· 2 years ago
2023-02-24 12:03pm
v8
· 2 years ago
2023-02-20 8:45pm
v7
· 2 years ago
2022-11-26 1:15am
v6
· 2 years ago
2022-11-26 1:13am
v5
· 2 years ago
2022-11-26 1:10am
v4
· 2 years ago
2022-11-25 1:09am
v3
· 2 years ago
2022-11-25 1:01am
v2
· 2 years ago
2022-11-25 12:45am
v1
· 2 years ago
v18
2023-05-17 9:14pm
Generated on May 17, 2023
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.
1866 Total Images
View All Images
Dataset Split
Train Set 86%
1605Images
Valid Set 8%
154Images
Test Set 6%
107Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-93% Horizontal Region, 2-81% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 32% of images
Hue: Between -180° and +180°
Saturation: Between -79% and +79%
Brightness: Between -99% and +99%
Exposure: Between -99% and +99%
Blur: Up to 5.25px
Noise: Up to 2% of pixels
Mosaic: Applied
Bounding Box: Rotation: Between -27° and +27°
Bounding Box: Brightness: Between -55% and +55%
Bounding Box: Exposure: Between -83% and +83%
Bounding Box: Noise: Up to 22% of pixels