Dataset Versions
Versions
TEST4399_v1
v36
· 2 months ago
TEST4399_600_32_v7
v31
· 2 months ago
2024-09-09 3:11am
v29
· 2 months ago
TEST4399_600_32_v5
v26
· 2 months ago
TEST4399_600_32_v4
v25
· 2 months ago
TEST4399_600_32_v3
v21
· 2 months ago
TEST4399_600_32_v2
v20
· 2 months ago
TEST4399_600_32_v1
v13
· 3 months ago
2024-08-09 9:13pm
v11
· 3 months ago
epoch600
v9
· 3 months ago
epoch300
v6
· 3 months ago
2024-08-06 11:39am
v3
· 3 months ago
2024-08-03 2:21am
v2
· 3 months ago
2024-07-26 9:02am
v1
· 3 months ago
v3
2024-08-06 11:39am
Generated on Aug 6, 2024
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv8.
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TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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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.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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3707 Total Images
View All Images
Dataset Split
Train Set 86%
3204Images
Valid Set 9%
352Images
Test Set 4%
151Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Noise: Up to 0.65% of pixels