Dataset Versions
Versions
2024-10-27 8:29am
v21
· a month ago
2024-08-21 11:43am
v20
· 3 months ago
2024-08-20 8:05am
v19
· 3 months ago
2024-08-15 11:39pm
v18
· 3 months ago
2024-08-15 1:41pm
v17
· 3 months ago
2024-05-04 6:24pm
v16
· 7 months ago
2024-05-04 4:23pm
v15
· 7 months ago
2024-04-30 7:29pm
v14
· 7 months ago
2024-04-30 6:42pm
v13
· 7 months ago
2024-04-29 10:53pm
v12
· 7 months ago
2024-04-29 8:09pm
v11
· 7 months ago
2024-04-28 4:59pm
v10
· 7 months ago
2024-04-24 10:41pm
v9
· 7 months ago
2024-04-23 10:59pm
v8
· 7 months ago
2024-04-23 9:33pm
v7
· 7 months ago
2024-04-13 1:56pm
v6
· 7 months ago
2024-03-25 9:37pm
v5
· 8 months ago
2024-03-24 9:00pm
v4
· 8 months ago
2024-03-24 3:12pm
v3
· 8 months ago
v14
2024-04-30 7:29pm
Generated on Apr 30, 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.
3464 Total Images
View All Images
Dataset Split
Train Set 91%
3156Images
Valid Set 8%
260Images
Test Set 1%
48Images
Preprocessing
Auto-Orient: Applied
Static Crop: 11-91% Horizontal Region, 16-96% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±1° Horizontal, ±1° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -15% and +15%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Noise: Up to 0.46% of pixels