Dataset Versions
Versions
2024-05-19 12:08pm
v16
· 6 months ago
2024-05-19 12:03pm
v15
· 6 months ago
2024-05-18 11:05pm
v14
· 6 months ago
2024-05-14 9:47pm
v11
· 6 months ago
2024-05-14 7:11pm
v10
· 6 months ago
2024-05-14 7:04pm
v9
· 6 months ago
2024-05-09 1:39pm
v8
· 6 months ago
2024-05-08 11:40pm
v7
· 6 months ago
2024-05-08 11:30pm
v6
· 6 months ago
2024-05-08 7:50pm
v5
· 6 months ago
2024-04-29 5:17pm
v4
· 7 months ago
2024-04-28 6:54pm
v3
· 7 months ago
2024-04-28 12:26am
v2
· 7 months ago
2024-04-27 11:48pm
v1
· 7 months ago
v5
2024-05-08 7:50pm
Generated on May 8, 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
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10800 Total Images
View All Images
Dataset Split
Train Set 94%
10192Images
Valid Set 4%
396Images
Test Set 2%
212Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 7
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
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 -15% and +15%
Cutout: 4 boxes with 41% size each