Dataset Versions
Versions
2023-10-02 5:54pm
v22
· a year ago
2023-10-01 2:59pm
v21
· a year ago
2023-10-01 12:32pm
v20
· a year ago
2023-09-30 7:23pm
v19
· a year ago
all
v18
· a year ago
2023-09-28 10:35pm
v17
· a year ago
2023-09-28 9:28pm
v16
· a year ago
-
v15
· a year ago
HE
v14
· a year ago
2023-09-28 4:05pm
v13
· a year ago
2023-09-27 7:04pm
v12
· a year ago
2023-09-26 3:37pm
v11
· a year ago
2023-09-25 5:25pm
v10
· a year ago
2023-09-25 10:28am
v9
· a year ago
2023-09-24 9:51pm
v8
· a year ago
2023-09-24 8:08pm
v7
· a year ago
2023-09-24 8:05pm
v6
· a year ago
2023-09-24 5:47pm
v5
· a year ago
2023-09-24 5:44pm
v4
· a year ago
2023-09-24 5:43pm
v3
· a year ago
2023-09-23 4:19pm
v2
· a year ago
2023-09-22 1:58pm
v1
· a year ago
v20
2023-10-01 12:32pm
Generated on Oct 1, 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.
934 Total Images
View All Images
Dataset Split
Train Set 90%
840Images
Valid Set 6%
56Images
Test Set 4%
38Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 13-89% Horizontal Region, 12-95% Vertical Region
Resize: Stretch to 400x400
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: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 30% of images
Hue: Between -40° and +40°
Saturation: Between -50% and +50%
Brightness: Between -35% and +35%
Exposure: Between -30% and +30%
Blur: Up to 1.5px
Noise: Up to 10% of pixels
Cutout: 10 boxes with 10% size each