Dataset Versions
Versions
move test image -6 to train 2024-12-16 4-08pm
v19
· 2 days ago
move test image -2 to train 2024-12-16 3-00pm
v18
· 2 days ago
move test image -1 to train 2024-12-16 1-59pm
v17
· 2 days ago
retrun all test images to test 2024-12-16 11-26am
v16
· 2 days ago
2024-12-16 11:17am
v15
· 2 days ago
v13 no augment 2024-11-26 6-41pm
v14
· 22 days ago
update bbox table - 2024-11-26 4-43pm
v13
· 22 days ago
preprocess - no augment - 2024-11-26 1-02pm
v12
· 22 days ago
move 7 test images to train 2024-11-26 10-53am
v11
· 22 days ago
update bbox on table-round 2024-11-25 5-20pm
v10
· 23 days ago
update some box - add moisaic - 2024-11-25 4-34pm
v9
· 23 days ago
v7 plus CROP augmentation - 2024-11-25 3-14pm
v8
· 23 days ago
2024-11-22 3:27pm
v7
· a month ago
checkpoint after merged old dataset 2024-11-22 3-25pm
v6
· a month ago
2024-11-22 3:20pm
v5
· a month ago
2024-11-22 9:41am
v4
· a month ago
2024-11-21 3:34pm
v3
· a month ago
v9
update some box - add moisaic - 2024-11-25 4-34pm
Generated on Nov 25, 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.
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385 Total Images
View All ImagesDataset Split
Train Set 94%
360Images
Valid Set 4%
15Images
Test Set 3%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1280x1280
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Mosaic: Applied