Dataset Versions
Versions
22. Rebalance: 296:110:94
v26
· 3 years ago
21. Augm_12: Noise: 350:70:10
v25
· 3 years ago
2022-05-08 4:30am
v24
· 3 years ago
20. Rebalance basic: 350:87:63
v23
· 3 years ago
19. Augm_11: cutout-shear-rotation
v22
· 3 years ago
18. Augm_10: Blue-saturation-crop
v21
· 3 years ago
17. Augm_9: Exposure-Rotation-Brightness
v20
· 3 years ago
16. Augm_8: Shear-Noise-mosiac
v19
· 3 years ago
15. Augm_7: Noise:420:70:10
v18
· 3 years ago
14. Rebalance Basic: 420:73:7
v17
· 3 years ago
13. Rebalance Basic: 420:65:15
v16
· 3 years ago
12. Augm_6: Mosaic-Hue-Rotation: 420:70:10
v15
· 3 years ago
11. Rebalance Basic: 420:38:42
v14
· 3 years ago
10. Rebalance Basic: 420:70:10
v13
· 3 years ago
9. Rebalance Basic: 420:70:10
v12
· 3 years ago
8. No Change: Remapped to 13 Classes
v11
· 3 years ago
7. Augm_5: Rotation-Noise-Saturation
v10
· 3 years ago
6. Augm_4: Shear-Brightness-Noise-Reflect-416
v9
· 3 years ago
6. Augm_3: Flip-Rotate-Crop-With-Validation-No-Test-Stretch-to-416
v8
· 3 years ago
5. Augm_2: Flip-Rotate-Crop-With-Validation-No-Test
v7
· 3 years ago
4. Yolov5
v6
· 3 years ago
3. Augm_1: Flip-Rotate-Crop
v4
· 3 years ago
2. Basic 500 Images Resized to 416 By 416
v2
· 3 years ago
v4
3. Augm_1: Flip-Rotate-Crop
Generated on Apr 9, 2022
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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1500 Total Images
View All Images
Dataset Split
Train Set 100%
1500Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 416x416
Modify Classes: 0 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 22% Maximum Zoom