Dataset Versions
Versions
2023-12-01 12:37am
v20
· a year ago
2023-12-01 12:36am
v19
· a year ago
2023-12-01 12:34am
v18
· a year ago
2023-12-01 12:31am
v17
· a year ago
2023-12-01 12:26am
v16
· a year ago
2023-12-01 12:23am
v15
· a year ago
2023-12-01 12:21am
v14
· a year ago
2023-12-01 12:15am
v13
· a year ago
2023-12-01 12:12am
v12
· a year ago
2023-12-01 12:09am
v11
· a year ago
2023-11-30 6:03pm
v10
· a year ago
2023-11-30 5:46pm
v9
· a year ago
2023-11-30 5:36pm
v8
· a year ago
2023-11-30 5:19pm
v7
· a year ago
2023-11-30 4:50pm
v6
· a year ago
2023-11-19 1:19am
v5
· a year ago
2023-11-19 1:09am
v4
· a year ago
2023-11-19 12:44am
v3
· a year ago
2023-11-19 12:32am
v2
· a year ago
2023-11-18 7:48pm
v1
· a year ago
v1
2023-11-18 7:48pm
Generated on Nov 19, 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.
34 Total Images
View All Images
Dataset Split
Train Set 88%
30Images
Valid Set 9%
3Images
Test Set 3%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 90% of images to contain annotations.
Augmentations
Outputs per training example: 3
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Noise: Up to 5% of pixels