Dataset Versions
Versions
Rotate90_2000T-300F_5Aug_x3
v11
· a year ago
Rotate_2000T-300F_5Aug_x3
v10
· a year ago
2000T-300F_5Aug_x3
v9
· a year ago
1800Pic TF
v8
· 2 years ago
600Pic TF
v7
· 2 years ago
1200Pic TF
v6
· 2 years ago
2023-04-25 9:21pm
v5
· 2 years ago
2023-04-25 3:13pm
v4
· 2 years ago
2023-04-25 11:49am
v3
· 2 years ago
2023-04-20 6:34pm
v2
· 2 years ago
v7
600Pic TF
Generated on Apr 25, 2023
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv9.
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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.
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600 Total Images
View All Images
Dataset Split
Train Set 100%
600Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 1
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -30% and +30%
Brightness: Between -50% and +50%
Exposure: Between -25% and +25%