Tran Tho

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XANH_THO_DATASET_part2

Object Detection

XANH_THO_DATASET_part2 Image Dataset

Try Pre-Trained Model
Versions
DATA_CHUP-raw
v17
·
2 years ago
raw_1k6_only_train
v16
·
2 years ago
raw_data_1k6_video
v15
·
2 years ago
data_4k
v14
·
2 years ago
data_4k_v3_valid
v13
·
2 years ago
data_4k_v2
v12
·
2 years ago
data_augment_4k_crop
v11
·
2 years ago
v10
v10
·
2 years ago
not_use_box_AUGMENTATION
v9
·
2 years ago
add_hue
v8
·
2 years ago
do_not_rotation_box
v7
·
2 years ago
flip
v6
·
2 years ago
small_change_2
v5
·
2 years ago
data_argument_small_change
v4
·
2 years ago
data_argument
v2
·
2 years ago
v11

data_augment_4k_crop

Generated on May 20, 2022
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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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4944 Total Images

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Dataset Split

Train Set 100%
4935Images
Valid Set 0%
5Images
Test Set 0%
4Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -10% and +10%
Exposure: Between -14% and +14%
Bounding Box: Exposure: Between -15% and +15%
Bounding Box: Noise: Up to 5% of pixels