Dataset Versions
Versions
2024-07-01 3:36pm
v20
· 5 months ago
2024-06-27 8:50am
v19
· 5 months ago
2024-06-27 6:18am
v18
· 5 months ago
2024-06-27 6:08am
v17
· 5 months ago
2024-06-27 5:31am
v16
· 5 months ago
2024-06-27 5:12am
v15
· 5 months ago
2024-06-27 4:46am
v14
· 5 months ago
2024-06-26 5:48pm
v13
· 5 months ago
2024-06-25 7:26pm
v12
· 5 months ago
2024-06-25 6:47pm
v11
· 5 months ago
2024-06-25 6:43pm
v10
· 5 months ago
2024-06-25 6:06am
v9
· 5 months ago
2024-06-24 6:37am
v8
· 5 months ago
2024-06-24 6:28am
v7
· 5 months ago
2024-06-24 5:53am
v6
· 5 months ago
2024-06-10 1:03am
v5
· 6 months ago
2024-06-10 1:01am
v4
· 6 months ago
2024-06-10 1:00am
v3
· 6 months ago
2024-06-10 12:28am
v2
· 6 months ago
2024-06-10 12:24am
v1
· 6 months ago
v5
2024-06-10 1:03am
Generated on Jun 9, 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.
1958 Total Images
View All Images
Dataset Split
Train Set 89%
1752Images
Valid Set 6%
109Images
Test Set 5%
97Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 13% Maximum Zoom
Rotation: Between -8° and +8°
Shear: ±7° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -32% and +32%
Brightness: Between -21% and +21%
Exposure: Between -14% and +14%
Noise: Up to 0.53% of pixels