Dataset Versions
Versions
2025-03-06 8:59pm
v36
· 12 hours ago
2025-03-05 2:12pm
v35
· 2 days ago
2025-02-05 9:39am
v34
· a month ago
2025-02-04 5:56pm
v33
· a month ago
2025-01-16 3:14pm
v31
· 2 months ago
move 1 image from test to train TTB2025-01-07 9-51am
v25
· 2 months ago
move 1 image from test to train 500T_2 2025-01-03 10-11am
v24
· 2 months ago
no augmentation 2024-12-30 10-54am
v23
· 2 months ago
add augmentation MOISAIC 2024-12-26 3-26pm
v22
· 2 months ago
move 7 images from test set to train 2024-12-26 9-35am
v21
· 2 months ago
return all test images to test 2024-12-20 11-29am
v20
· 2 months ago
move test image -6 to train 2024-12-16 4-08pm
v19
· 3 months ago
move test image -2 to train 2024-12-16 3-00pm
v18
· 3 months ago
move test image -1 to train 2024-12-16 1-59pm
v17
· 3 months ago
return all test images to test 2024-12-16 11-26am
v16
· 3 months ago
v13 no augment 2024-11-26 6-41pm
v14
· 3 months ago
update bbox table - 2024-11-26 4-43pm
v13
· 3 months ago
preprocess - no augment - 2024-11-26 1-02pm
v12
· 3 months ago
move 7 test images to train 2024-11-26 10-53am
v11
· 3 months ago
update bbox on table-round 2024-11-25 5-20pm
v10
· 3 months ago
update some box - add moisaic - 2024-11-25 4-34pm
v9
· 3 months ago
v7 plus CROP augmentation - 2024-11-25 3-14pm
v8
· 3 months ago
add augmentation 2024-11-22 3-27pm
v7
· 3 months ago
added train images from old dataset 2024-11-22 3-25pm
v6
· 3 months ago
raw images 2024-11-22 3-20pm
v5
· 3 months ago
2024-11-21 3:34pm
v3
· 3 months ago
v18
move test image -2 to train 2024-12-16 3-00pm
Generated on Dec 16, 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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387 Total Images
View All Images
Dataset Split
Train Set 94%
363Images
Valid Set 4%
15Images
Test Set 2%
9Images
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°
Noise: Up to 0.1% of pixels