Dataset Versions
Versions
2024-09-09 2:15pm
v27
· 3 months ago
2024-09-09 2:14pm
v26
· 3 months ago
2024-09-09 11:30am
v25
· 3 months ago
2024-09-09 11:29am
v24
· 3 months ago
2024-08-01 4:31pm
v23
· 5 months ago
2024-08-01 4:31pm
v22
· 5 months ago
2024-08-01 4:30pm
v21
· 5 months ago
2024-08-01 4:09pm
v20
· 5 months ago
2024-08-01 4:08pm
v19
· 5 months ago
2024-08-01 4:07pm
v18
· 5 months ago
2024-08-01 4:07pm
v17
· 5 months ago
2024-08-01 4:06pm
v16
· 5 months ago
2024-07-22 5:35pm
v15
· 5 months ago
2024-07-22 5:35pm
v14
· 5 months ago
2024-07-22 5:34pm
v13
· 5 months ago
2024-07-20 4:33pm
v11
· 5 months ago
2024-07-20 1:26pm
v10
· 5 months ago
2024-07-20 9:39am
v9
· 5 months ago
2024-07-20 8:54am
v8
· 5 months ago
2024-07-20 8:13am
v7
· 5 months ago
2024-07-17 5:41pm
v6
· 5 months ago
2024-07-10 9:09pm
v5
· 5 months ago
2024-07-10 9:07pm
v4
· 5 months ago
2024-07-10 8:52pm
v3
· 5 months ago
2024-07-10 8:21pm
v1
· 5 months ago
v18
2024-08-01 4:07pm
Generated on Aug 1, 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.
812 Total Images
View All ImagesDataset Split
Train Set 92%
747Images
Valid Set 8%
65Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 5% of images
Hue: Between -12° and +12°
Saturation: Between -33% and +33%
Exposure: Between -15% and +15%
Blur: Up to 1.4px
Noise: Up to 2.2% of pixels