Dataset Versions
Versions
Rebalanced - IC Only
v26
· 10 months ago
v3 - IC Only
v25
· 10 months ago
2024-02-27 3:55pm
v24
· 10 months ago
Tiled Image v3 - 8x8 Largest
v23
· 10 months ago
2024-02-26 12:52am
v22
· 10 months ago
No Tile - 2000
v21
· 10 months ago
Tiled Image v3 - 1280 Smallest
v20
· 10 months ago
Tiled Image v3 - 1280
v19
· 10 months ago
Tiled Image v3 - Large
v18
· 10 months ago
Tiled Image v2 - Smallest -Fixed-
v17
· 10 months ago
Tiled Image v2 - Smallest
v16
· 10 months ago
Full Image - IC Only
v15
· 10 months ago
Tiled Image v2 - Small
v14
· 10 months ago
Tiled Image v2
v13
· 10 months ago
Tiled Image - 9-2-24
v12
· 10 months ago
Full Image - 9-2-24
v11
· 10 months ago
IC only - 640
v10
· a year ago
All Classes - 640
v9
· a year ago
2023-12-19 2:06pm
v8
· a year ago
Crop all classes
v7
· a year ago
Only ICs - Crop
v6
· a year ago
Only ICs
v5
· a year ago
2023-11-15 11:00am
v4
· a year ago
2023-11-14 5:27pm
v3
· a year ago
2023-11-01 2:20pm
v2
· a year ago
2023-11-01 2:04pm
v1
· a year ago
v16
Tiled Image v2 - Smallest
Generated on Feb 12, 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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1744 Total Images
View All Images
Dataset Split
Train Set 88%
1536Images
Valid Set 9%
160Images
Test Set 3%
48Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Tile: 4 rows x 4 columns
Modify Classes: 0 remapped, 4 dropped
Augmentations
Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -6° and +6°
Shear: ±15° Horizontal, ±15° Vertical