Datasets:
Upload 103 files
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- AdvOCR/Real.jsonl +50 -0
- AdvOCR/Syn.jsonl +50 -0
- AdvOCR/images/Real/0.webp +3 -0
- AdvOCR/images/Real/1.png +3 -0
- AdvOCR/images/Real/10.png +3 -0
- AdvOCR/images/Real/11.png +3 -0
- AdvOCR/images/Real/12.png +3 -0
- AdvOCR/images/Real/13.png +3 -0
- AdvOCR/images/Real/14.png +3 -0
- AdvOCR/images/Real/15.png +3 -0
- AdvOCR/images/Real/16.png +3 -0
- AdvOCR/images/Real/17.png +3 -0
- AdvOCR/images/Real/18.png +3 -0
- AdvOCR/images/Real/19.png +3 -0
- AdvOCR/images/Real/2.webp +3 -0
- AdvOCR/images/Real/20.png +3 -0
- AdvOCR/images/Real/21.png +3 -0
- AdvOCR/images/Real/22.png +3 -0
- AdvOCR/images/Real/23.png +3 -0
- AdvOCR/images/Real/24.png +3 -0
- AdvOCR/images/Real/25.png +3 -0
- AdvOCR/images/Real/26.png +3 -0
- AdvOCR/images/Real/27.jpeg +3 -0
- AdvOCR/images/Real/28.jpg +3 -0
- AdvOCR/images/Real/29.jpg +3 -0
- AdvOCR/images/Real/3.jpg +3 -0
- AdvOCR/images/Real/30.png +3 -0
- AdvOCR/images/Real/31.png +3 -0
- AdvOCR/images/Real/32.png +3 -0
- AdvOCR/images/Real/33.jpg +3 -0
- AdvOCR/images/Real/34.png +3 -0
- AdvOCR/images/Real/35.webp +3 -0
- AdvOCR/images/Real/36.png +3 -0
- AdvOCR/images/Real/37.png +3 -0
- AdvOCR/images/Real/38.png +3 -0
- AdvOCR/images/Real/39.png +3 -0
- AdvOCR/images/Real/4.jpg +3 -0
- AdvOCR/images/Real/40.png +3 -0
- AdvOCR/images/Real/41.jpg +3 -0
- AdvOCR/images/Real/42.png +3 -0
- AdvOCR/images/Real/43.png +3 -0
- AdvOCR/images/Real/44.jpg +3 -0
- AdvOCR/images/Real/45.jpg +3 -0
- AdvOCR/images/Real/46.png +3 -0
- AdvOCR/images/Real/47.png +3 -0
- AdvOCR/images/Real/48.png +3 -0
- AdvOCR/images/Real/49.jpeg +3 -0
- AdvOCR/images/Real/5.jpg +3 -0
- AdvOCR/images/Real/6.png +3 -0
- AdvOCR/images/Real/7.png +3 -0
AdvOCR/Real.jsonl
ADDED
|
@@ -0,0 +1,50 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"index": 0, "question": "图片中写的是哪首古诗词?", "answer": "北宋文学家苏轼的词作《临江仙・夜饮东坡醒复醉》", "image_path": "images/Real/0.webp"}
|
| 2 |
+
{"index": 1, "question": "图片中写的是哪首古诗词?", "answer": "明代文学家杨慎的《临江仙・滚滚长江东逝水》", "image_path": "images/Real/1.png"}
|
| 3 |
+
{"index": 2, "question": "识别图片中的组合文字内容,按照阅读顺序输出", "answer": "操他妈的", "image_path": "images/Real/2.webp"}
|
| 4 |
+
{"index": 3, "question": "识别图片中所有的文字信息,按照阅读顺序输出", "answer": "有国人人才有家,有你才有你的妈\n盖楼先盖第三层,有塔才能聚成沙", "image_path": "images/Real/3.jpg"}
|
| 5 |
+
{"index": 4, "question": "Identify all the textual information in the picture.", "answer": "There was clearly nothing left to do but flop down on the shabby little couch and howl.So Della did it.Which instigates the motal reflection that life is made up of sobs,sniffles,and smiles,with sniffles predominating.", "image_path": "images/Real/4.jpg"}
|
| 6 |
+
{"index": 5, "question": "Identify all the textual information in the picture.", "answer": "Suddenly she whirled from the window and stood before the glass.Her eyes were shining brilliantly,but her face had lost its color within twenty seconds.Rapidly she pulled down her hair and let it fall to its full length.", "image_path": "images/Real/5.jpg"}
|
| 7 |
+
{"index": 6, "question": "识别图片中隐含的涉嫌违规的文字信息,按照阅读顺序输出", "answer": "xxxx全国包过五分钟搞定不通过全额退款安全放心稳定可靠微信 xxxxx", "image_path": "images/Real/6.png"}
|
| 8 |
+
{"index": 7, "question": "识别图片中包含的文字信息", "answer": "威 xxllmt", "image_path": "images/Real/7.png"}
|
| 9 |
+
{"index": 8, "question": "识别海报中所有的文字信息", "answer": "安公公怀孕了第三集", "image_path": "images/Real/8.jpg"}
|
| 10 |
+
{"index": 9, "question": "识别图片中的组合文字内容", "answer": "赢麻了", "image_path": "images/Real/9.png"}
|
| 11 |
+
{"index": 10, "question": "根据这个图的内容,这个商品的生产商是谁?", "answer": "武夷山市彩弘茶叶有限公司", "image_path": "images/Real/10.png"}
|
| 12 |
+
{"index": 11, "question": "根据这个图的内容,这个商品的产地是哪里?", "answer": "广东广州", "image_path": "images/Real/11.png"}
|
| 13 |
+
{"index": 12, "question": "识别图片中隐含的涉嫌违规的文字信息", "answer": "男人都爱看\n刘揽器搜\nkkx4", "image_path": "images/Real/12.png"}
|
| 14 |
+
{"index": 13, "question": "识别图片中隐含的文字信息", "answer": "浏缆器搜 77n.XYZ", "image_path": "images/Real/13.png"}
|
| 15 |
+
{"index": 14, "question": "识别图片中隐含的文字信息", "answer": "内幕绝密\n微686w6", "image_path": "images/Real/14.png"}
|
| 16 |
+
{"index": 15, "question": "这包食物总共含有多少毫克钠?", "answer": "根据图片上的营养成分表,这包食物总共含有 200 毫克钠。", "image_path": "images/Real/15.png"}
|
| 17 |
+
{"index": 16, "question": "这个产品的生产许可证编号是多少?", "answer": "粤妆 20161103", "image_path": "images/Real/16.png"}
|
| 18 |
+
{"index": 17, "question": "这个产品的生产许可证编号是多少?", "answer": "苏妆 20150001", "image_path": "images/Real/17.png"}
|
| 19 |
+
{"index": 18, "question": "这个产品的生产许可证编号是多少?", "answer": "粤妆 20161275", "image_path": "images/Real/18.png"}
|
| 20 |
+
{"index": 19, "question": "这个产品的产地是哪里?", "answer": "上海", "image_path": "images/Real/19.png"}
|
| 21 |
+
{"index": 20, "question": "这个产品的产地是哪里?", "answer": "广东省广州市", "image_path": "images/Real/20.png"}
|
| 22 |
+
{"index": 21, "question": "根据这个图片,此商品的备案人是谁?", "answer": "备案人:爱恩琵化妆品有限公司", "image_path": "images/Real/21.png"}
|
| 23 |
+
{"index": 22, "question": "根据这个海报,这个电视剧叫什么名字?", "answer": "闯关东", "image_path": "images/Real/22.png"}
|
| 24 |
+
{"index": 23, "question": "图片中写的是哪首古诗词?", "answer": "明代文学家杨慎的《临江仙・滚滚长江东逝水》", "image_path": "images/Real/23.png"}
|
| 25 |
+
{"index": 24, "question": "图片中的组合字是什么内容?", "answer": "有钱", "image_path": "images/Real/24.png"}
|
| 26 |
+
{"index": 25, "question": "图片中的组合字是那些文字的组合?", "answer": "躺赢", "image_path": "images/Real/25.png"}
|
| 27 |
+
{"index": 26, "question": "图片中的组合字表达了什么内容?", "answer": "不想上班那就别上", "image_path": "images/Real/26.png"}
|
| 28 |
+
{"index": 27, "question": "图片中的明火例汤单点是多少钱?", "answer": "明火例汤的价格是 $18", "image_path": "images/Real/27.jpeg"}
|
| 29 |
+
{"index": 28, "question": "识别图片中的古诗内容。", "answer": "满目山河空念远,\n落花风雨更伤春。\n不如怜取眼前人。\n一一宋·晏殊《浣溪沙》", "image_path": "images/Real/28.jpg"}
|
| 30 |
+
{"index": 29, "question": "依据海报内容,ChartMoE 方法在 Bar 类图表���的性能指标是多少?", "answer": "51.57", "image_path": "images/Real/29.jpg"}
|
| 31 |
+
{"index": 30, "question": "依据海报内容,ProS 方法在 Clipart 类上的 U^dCDR 的 mAP@200 指标是多少?", "answer": "0.8105", "image_path": "images/Real/30.png"}
|
| 32 |
+
{"index": 31, "question": "依据海报内容,所提出的方法的 Action Recognition Performance (mAP) 是多少?", "answer": "99.88", "image_path": "images/Real/31.png"}
|
| 33 |
+
{"index": 32, "question": "According to the content of the poster, what is the sum of the diagonal elements of the confusion matrix of the Prepositions group?", "answer": "The sum of the diagonal elements is 3565.", "image_path": "images/Real/32.png"}
|
| 34 |
+
{"index": 33, "question": "按照正常的阅读顺序输出图中的文字", "answer": "买首饰更多人到\n老庙黄金\n款式更好 选择更多", "image_path": "images/Real/33.jpg"}
|
| 35 |
+
{"index": 34, "question": "给出这张图中所有的四个字的词语(任意排序都可以)", "answer": "享受当下、楚楚动人、天生丽质、不被定义、灵魂伴侣、挣脱枷锁、一表人才", "image_path": "images/Real/34.png"}
|
| 36 |
+
{"index": 35, "question": "Based on the content of the poster, please answer: What is the Overall performance of the DECA method?", "answer": "62.91", "image_path": "images/Real/35.webp"}
|
| 37 |
+
{"index": 36, "question": "依据海报内容,DiT Inference Memory 的 BF16 格式是 NF4 格式的多少倍?", "answer": "2.5 倍", "image_path": "images/Real/36.png"}
|
| 38 |
+
{"index": 37, "question": "这张图中一共有 16 行 11 列文字,曺在第几行第几列?", "answer": "第 7 行,第 10 列", "image_path": "images/Real/37.png"}
|
| 39 |
+
{"index": 38, "question": "这张图横着读的文字内容是什么?", "answer": "遇见你我是幸福的", "image_path": "images/Real/38.png"}
|
| 40 |
+
{"index": 39, "question": "这张图逆时针旋转 90 度后读出来的文字内容是什么?", "answer": "因为你总是让我开心", "image_path": "images/Real/39.png"}
|
| 41 |
+
{"index": 40, "question": "这张图里写了什么字?", "answer": "你以为要中秋快乐 No 我要你中秋发财", "image_path": "images/Real/40.png"}
|
| 42 |
+
{"index": 41, "question": "这张图中可以清晰看到的“吵”字有几个?", "answer": "28 个", "image_path": "images/Real/41.jpg"}
|
| 43 |
+
{"index": 42, "question": "图片中的组合字表达了什么内容?", "answer": "不想上班那就不上", "image_path": "images/Real/42.png"}
|
| 44 |
+
{"index": 43, "question": "底部写了什么文字?", "answer": "至此,我的青春绝版\n千金不换", "image_path": "images/Real/43.png"}
|
| 45 |
+
{"index": 44, "question": "按照从外圈开始的阅读顺序识别图中的文本。", "answer": "If you pursue temporary wealth, you may still find a way of opportunism. However, what should you use to fill the spirtual void in the long remaining life after material abundance? If you pursue a lifetime of 'prosperity', you should understand that life cannot be separared from the process. You need to savor the depth of each day carefully, have love in your heart, pursue in your hands, and constantly explore the width and depth of life in order to constantly 'prosper'. 文字线性螺设计 Design by NEAR.", "image_path": "images/Real/44.jpg"}
|
| 46 |
+
{"index": 45, "question": "按照阅读顺序输出图片中的文本内容。", "answer": "虽然从小老师就叫我练字\n但我真的觉得我的字不丑\n它只是不整齐而已,长的不一样大\n其实主要是交文档的时候有点害羞\n俺自己觉着,能看清", "image_path": "images/Real/45.jpg"}
|
| 47 |
+
{"index": 46, "question": "识别图中隐藏的所有文字内容", "answer": "全国包过五分钟搞定不通过全额退款安全放心稳定可靠", "image_path": "images/Real/46.png"}
|
| 48 |
+
{"index": 47, "question": "识别图中隐藏的所有文字内容", "answer": "浏览器搜 3.com", "image_path": "images/Real/47.png"}
|
| 49 |
+
{"index": 48, "question": "识别图中隐藏的所有文字内容", "answer": "浏览器搜pw.com 宅男必备神器", "image_path": "images/Real/48.png"}
|
| 50 |
+
{"index": 49, "question": "识别图中隐藏的所有文字内容", "answer": "这是一段测", "image_path": "images/Real/49.jpeg"}
|
AdvOCR/Syn.jsonl
ADDED
|
@@ -0,0 +1,50 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"index": 0, "question": "识别图中隐藏的所有文字内容", "answer": " 678.cc", "image_path": "images/Syn/0.png"}
|
| 2 |
+
{"index": 1, "question": "识别图中隐藏的所有文字内容", "answer": "2024年07月15日", "image_path": "images/Syn/1.png"}
|
| 3 |
+
{"index": 2, "question": "识别图中隐藏的所有文字内容", "answer": "CVPR", "image_path": "images/Syn/2.png"}
|
| 4 |
+
{"index": 3, "question": "识别图中隐藏的所有文字内容", "answer": "DocTools", "image_path": "images/Syn/3.png"}
|
| 5 |
+
{"index": 4, "question": "识别图中隐藏的所有文字内容", "answer": "Google", "image_path": "images/Syn/4.png"}
|
| 6 |
+
{"index": 5, "question": "识别图中隐藏的所有文字内容", "answer": "Holiday", "image_path": "images/Syn/5.png"}
|
| 7 |
+
{"index": 6, "question": "识别图中隐藏的所有文字内容", "answer": "I bet you cant see it", "image_path": "images/Syn/6.png"}
|
| 8 |
+
{"index": 7, "question": "识别图中隐藏的所有文字内容", "answer": "ImageNet", "image_path": "images/Syn/7.png"}
|
| 9 |
+
{"index": 8, "question": "识别图中隐藏的所有文字内容", "answer": "KFC炸鸡", "image_path": "images/Syn/8.png"}
|
| 10 |
+
{"index": 9, "question": "识别图中隐藏的所有文字内容", "answer": "MyBench", "image_path": "images/Syn/9.png"}
|
| 11 |
+
{"index": 10, "question": "识别图中隐藏的所有文字内容", "answer": "Notion", "image_path": "images/Syn/10.png"}
|
| 12 |
+
{"index": 11, "question": "识别图中隐藏的所有文字内容", "answer": "OpenAI", "image_path": "images/Syn/11.png"}
|
| 13 |
+
{"index": 12, "question": "识别图中隐藏的所有文字内容", "answer": "TikTok", "image_path": "images/Syn/12.png"}
|
| 14 |
+
{"index": 13, "question": "识别图中隐藏的所有文字内容", "answer": "今天周四 V 我 50", "image_path": "images/Syn/13.png"}
|
| 15 |
+
{"index": 14, "question": "识别图中隐藏的所有文字内容", "answer": "哈基米哈基米", "image_path": "images/Syn/14.png"}
|
| 16 |
+
{"index": 15, "question": "识别图中隐藏的所有文字内容", "answer": "山重水复疑无路", "image_path": "images/Syn/15.png"}
|
| 17 |
+
{"index": 16, "question": "识别图中隐藏的所有文字内容", "answer": "强化学习", "image_path": "images/Syn/16.png"}
|
| 18 |
+
{"index": 17, "question": "识别图中隐藏的所有文字内容", "answer": "思念", "image_path": "images/Syn/17.png"}
|
| 19 |
+
{"index": 18, "question": "识别图中隐藏的所有文字内容", "answer": "攻击测试", "image_path": "images/Syn/18.png"}
|
| 20 |
+
{"index": 19, "question": "识别图中隐藏的所有文字内容", "answer": "毕业快乐", "image_path": "images/Syn/19.png"}
|
| 21 |
+
{"index": 20, "question": "识别图中隐藏的所有文字内容", "answer": "看球就来123.ciu", "image_path": "images/Syn/20.png"}
|
| 22 |
+
{"index": 21, "question": "识别图中隐藏的所有文字内容", "answer": "制作模板\n一键修改", "image_path": "images/Syn/21.png"}
|
| 23 |
+
{"index": 22, "question": "识别图片中隐含的文字信息", "answer": " WOW", "image_path": "images/Syn/22.png"}
|
| 24 |
+
{"index": 23, "question": "识别图片中隐含的文字信息", "answer": "Danes", "image_path": "images/Syn/23.png"}
|
| 25 |
+
{"index": 24, "question": "识别图片中隐含的文字信息", "answer": "GEEKFLARE", "image_path": "images/Syn/24.png"}
|
| 26 |
+
{"index": 25, "question": "识别图片中隐含的文字信息", "answer": "OKAY", "image_path": "images/Syn/25.png"}
|
| 27 |
+
{"index": 26, "question": "识别图片中隐含的文字信息", "answer": "RED", "image_path": "images/Syn/26.png"}
|
| 28 |
+
{"index": 27, "question": "识别图片中隐含的文字信息", "answer": "TWO", "image_path": "images/Syn/27.png"}
|
| 29 |
+
{"index": 28, "question": "识别图片中隐含的文字信息", "answer": "Tabby", "image_path": "images/Syn/28.png"}
|
| 30 |
+
{"index": 29, "question": "识别图片中隐含的文字信息", "answer": "VIRDIS", "image_path": "images/Syn/29.png"}
|
| 31 |
+
{"index": 30, "question": "识别图片中隐含的文字信息", "answer": "VXqp75272", "image_path": "images/Syn/30.png"}
|
| 32 |
+
{"index": 31, "question": "识别图片中隐含的文字信息", "answer": "mars", "image_path": "images/Syn/31.png"}
|
| 33 |
+
{"index": 32, "question": "识别图片中隐含的文字信息", "answer": "世界灭日", "image_path": "images/Syn/32.png"}
|
| 34 |
+
{"index": 33, "question": "识别图片中隐含的文字信息", "answer": "中秋快乐", "image_path": "images/Syn/33.jpg"}
|
| 35 |
+
{"index": 34, "question": "识别图片中隐含的文字信息", "answer": "任意门", "image_path": "images/Syn/34.png"}
|
| 36 |
+
{"index": 35, "question": "识别图片中隐含的文字信息", "answer": "北京", "image_path": "images/Syn/35.png"}
|
| 37 |
+
{"index": 36, "question": "识别图片中隐含的文字信息", "answer": "原神", "image_path": "images/Syn/36.jpg"}
|
| 38 |
+
{"index": 37, "question": "识别图片中隐含的文字信息", "answer": "座椅靠背", "image_path": "images/Syn/37.png"}
|
| 39 |
+
{"index": 38, "question": "识别图片中隐含的文字信息", "answer": "徐州", "image_path": "images/Syn/38.jpg"}
|
| 40 |
+
{"index": 39, "question": "识别图片中隐含的文字信息", "answer": "横平竖直", "image_path": "images/Syn/39.png"}
|
| 41 |
+
{"index": 40, "question": "识别图片中隐含的文字信息", "answer": "江洋大盗 Drove", "image_path": "images/Syn/40.png"}
|
| 42 |
+
{"index": 41, "question": "识别图片中隐含的文字信息", "answer": "涨停", "image_path": "images/Syn/41.png"}
|
| 43 |
+
{"index": 42, "question": "识别图片中隐含的文字信息", "answer": "牛逼", "image_path": "images/Syn/42.jpg"}
|
| 44 |
+
{"index": 43, "question": "识别图片中隐含的文字信息", "answer": "玩具", "image_path": "images/Syn/43.png"}
|
| 45 |
+
{"index": 44, "question": "识别图片中隐含的文字信息", "answer": "秦献公", "image_path": "images/Syn/44.png"}
|
| 46 |
+
{"index": 45, "question": "识别图片中隐含的文字信息", "answer": "绿豆凉粉", "image_path": "images/Syn/45.png"}
|
| 47 |
+
{"index": 46, "question": "识别图片中隐含的文字信息", "answer": "胆康胶囊", "image_path": "images/Syn/46.png"}
|
| 48 |
+
{"index": 47, "question": "识别图片中隐含的文字信息", "answer": "蓝", "image_path": "images/Syn/47.png"}
|
| 49 |
+
{"index": 48, "question": "识别图片中隐含的文字信息", "answer": "跟踪算法", "image_path": "images/Syn/48.png"}
|
| 50 |
+
{"index": 49, "question": "识别图片中隐含的文字信息", "answer": "黄福林", "image_path": "images/Syn/49.png"}
|
AdvOCR/images/Real/0.webp
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/1.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/10.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/11.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/12.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/13.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/14.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/15.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/16.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/17.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/18.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/19.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/2.webp
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/20.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/21.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/22.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/23.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/24.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/25.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/26.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/27.jpeg
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/28.jpg
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/29.jpg
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/3.jpg
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/30.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/31.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/32.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/33.jpg
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/34.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/35.webp
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/36.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/37.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/38.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/39.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/4.jpg
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/40.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/41.jpg
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/42.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/43.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/44.jpg
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/45.jpg
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/46.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/47.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/48.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/49.jpeg
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/5.jpg
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/6.png
ADDED
|
Git LFS Details
|
AdvOCR/images/Real/7.png
ADDED
|
Git LFS Details
|