Dataset Versions
Versions
2024-11-23 10:40am
v27
· 2 months ago
new_fix2
v26
· 2 months ago
new_fix
v25
· 2 months ago
2024-11-19 9:38pm
v24
· 2 months ago
2024-11-12 9:10am
v23
· 2 months ago
train_flip- rotate- crop
v22
· 2 months ago
2024-11-11 7:48am
v20
· 2 months ago
train_aug_crop
v18
· 2 months ago
train_450
v17
· 2 months ago
train_data2
v16
· 2 months ago
2024-11-10 4:02pm
v15
· 2 months ago
train_s_batch4_aug
v14
· 2 months ago
train_s_epoch120_aug
v13
· 2 months ago
train_s_epoch50_aug
v12
· 2 months ago
train_l_epoch100_aug
v11
· 2 months ago
train_s_epoch75_aug
v10
· 2 months ago
train_s_epoch200_aug
v9
· 2 months ago
train_s_epoch100
v8
· 2 months ago
train_m_epoch100_aug
v6
· 2 months ago
train_s_epoch100_aug
v5
· 2 months ago
2024-10-19 3:38pm
v3
· 3 months ago
2024-10-18 1:23am
v2
· 3 months ago
2024-10-18 12:44am
v1
· 3 months ago
v27
2024-11-23 10:40am
Generated on Nov 23, 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 YOLOv9.
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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.
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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.
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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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500 Total Images
View All Images
Dataset Split
Train Set 80%
400Images
Valid Set 10%
50Images
Test Set 10%
50Images
Preprocessing
No preprocessing steps were applied.
Augmentations
No augmentations were applied.