Dataset Versions
Versions
2024-05-24 2:41pm
v13
· 6 months ago
2024-05-24 2:40pm
v12
· 6 months ago
2024-05-21 12:03pm
v11
· 6 months ago
2024-05-21 12:01pm
v10
· 6 months ago
2024-05-21 10:17am
v9
· 6 months ago
2024-05-21 9:26am
v8
· 6 months ago
2024-05-21 9:25am
v7
· 6 months ago
2024-05-20 5:34pm
v6
· 6 months ago
2024-05-08 10:59pm
v5
· 7 months ago
2024-04-28 8-29pm
v4
· 7 months ago
2024-03-12 8:03pm
v3
· 9 months ago
2024-03-05 5:20pm
v2
· 9 months ago
2024-02-27 4:16pm
v1
· 9 months ago
v11
2024-05-21 12:03pm
Generated on May 21, 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.
2924 Total Images
View All ImagesDataset Split
Train Set 44%
1278Images
Valid Set 4%
122Images
Test Set 2%
62Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -19% and +19%
Exposure: Between -15% and +15%
Blur: Up to 4.6px
Noise: Up to 2.55% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal